Ahmed, Syed Ejaz; Ahmed, Feryaal; Yüzbaşı, Bahadir Post-shrinkage strategies in statistical and machine learning for high dimensional data. (English) Zbl 07701123 Boca Raton, FL: CRC Press (ISBN 978-0-367-76344-2/hbk; 978-1-067-77205-5/pbk; 978-1-003-17025-9/ebook). xxix, 378 (2023). MSC: 62-01 62J07 62Jxx 62H12 62R07 68T05 PDFBibTeX XMLCite \textit{S. E. Ahmed} et al., Post-shrinkage strategies in statistical and machine learning for high dimensional data. Boca Raton, FL: CRC Press (2023; Zbl 07701123)
Gong, Xiaoling; Yu, Ling; Wang, Jian; Zhang, Kai; Bai, Xiao; Pal, Nikhil R. Unsupervised feature selection via adaptive autoencoder with redundancy control. (English) Zbl 1522.68455 Neural Netw. 150, 87-101 (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{X. Gong} et al., Neural Netw. 150, 87--101 (2022; Zbl 1522.68455) Full Text: DOI
Brown, D. Andrew; McMahan, Christopher S.; Shinohara, Russell T.; Linn, Kristin A. Bayesian spatial binary regression for label fusion in structural neuroimaging. (English) Zbl 1507.68291 J. Am. Stat. Assoc. 117, No. 538, 547-560 (2022). MSC: 68T20 62J07 68T05 92C55 PDFBibTeX XMLCite \textit{D. A. Brown} et al., J. Am. Stat. Assoc. 117, No. 538, 547--560 (2022; Zbl 1507.68291) Full Text: DOI arXiv
Wang, Zeya; Baladandayuthapani, Veerabhadran; Kaseb, Ahmed O.; Amin, Hesham M.; Hassan, Manal M.; Wang, Wenyi; Morris, Jeffrey S. Bayesian edge regression in undirected graphical models to characterize interpatient heterogeneity in cancer. (English) Zbl 1507.62350 J. Am. Stat. Assoc. 117, No. 538, 533-546 (2022). MSC: 62P10 62H22 62J07 68T05 PDFBibTeX XMLCite \textit{Z. Wang} et al., J. Am. Stat. Assoc. 117, No. 538, 533--546 (2022; Zbl 1507.62350) Full Text: DOI arXiv
Rosset, Saharon; Tibshirani, Ryan J. Correction to: “From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation”. (English) Zbl 1507.62297 J. Am. Stat. Assoc. 117, No. 537, 529 (2022). MSC: 62M20 62J07 62J10 68T05 PDFBibTeX XMLCite \textit{S. Rosset} and \textit{R. J. Tibshirani}, J. Am. Stat. Assoc. 117, No. 537, 529 (2022; Zbl 1507.62297) Full Text: DOI
Farhang-Sardroodi, Suzan; Ghaemi, Mohammad Sajjad; Craig, Morgan; Ooi, Hsu Kiang; Heffernan, Jane M. A machine learning approach to differentiate between COVID-19 and influenza infection using synthetic infection and immune response data. (English) Zbl 1508.92253 Math. Biosci. Eng. 19, No. 6, 5813-5831 (2022). MSC: 92D30 62P10 68T05 PDFBibTeX XMLCite \textit{S. Farhang-Sardroodi} et al., Math. Biosci. Eng. 19, No. 6, 5813--5831 (2022; Zbl 1508.92253) Full Text: DOI
Majumdar, Subhabrata; Michailidis, George Joint estimation and inference for data integration problems based on multiple multi-layered Gaussian graphical models. (English) Zbl 07625154 J. Mach. Learn. Res. 23, Paper No. 1, 53 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Majumdar} and \textit{G. Michailidis}, J. Mach. Learn. Res. 23, Paper No. 1, 53 p. (2022; Zbl 07625154) Full Text: arXiv Link
Allerbo, Oskar; Jörnsten, Rebecka Flexible, non-parametric modeling using regularized neural networks. (English) Zbl 1505.62021 Comput. Stat. 37, No. 4, 2029-2047 (2022). MSC: 62-08 62G08 62J07 68T07 PDFBibTeX XMLCite \textit{O. Allerbo} and \textit{R. Jörnsten}, Comput. Stat. 37, No. 4, 2029--2047 (2022; Zbl 1505.62021) Full Text: DOI arXiv
Li, Fuwei; Lai, Lifeng; Cui, Shuguang Machine learning algorithms. Adversarial robustness in signal processing. (English) Zbl 1503.68009 Wireless Networks (Cham). Cham: Springer (ISBN 978-3-031-16374-6/hbk; 978-3-031-16377-7/pbk; 978-3-031-16375-3/ebook). ix, 104 p. (2022). MSC: 68-02 62H25 62J05 62J07 68M18 68M25 68T05 94A12 PDFBibTeX XMLCite \textit{F. Li} et al., Machine learning algorithms. Adversarial robustness in signal processing. Cham: Springer (2022; Zbl 1503.68009) Full Text: DOI
Scutari, Marco; Panero, Francesca; Proissl, Manuel Achieving fairness with a simple ridge penalty. (English) Zbl 1497.62014 Stat. Comput. 32, No. 5, Paper No. 77, 17 p. (2022). MSC: 62-08 62J07 62J05 62J12 68T05 PDFBibTeX XMLCite \textit{M. Scutari} et al., Stat. Comput. 32, No. 5, Paper No. 77, 17 p. (2022; Zbl 1497.62014) Full Text: DOI arXiv
Qian, Junyang; Tanigawa, Yosuke; Li, Ruilin; Tibshirani, Robert; Rivas, Manuel A.; Hastie, Trevor Large-scale multivariate sparse regression with applications to UK Biobank. (English) Zbl 1498.62135 Ann. Appl. Stat. 16, No. 3, 1891-1918 (2022). MSC: 62J05 62-08 62J07 62H12 62P10 68T05 PDFBibTeX XMLCite \textit{J. Qian} et al., Ann. Appl. Stat. 16, No. 3, 1891--1918 (2022; Zbl 1498.62135) Full Text: DOI
Puliparambil, Bhavithry Sen; Tomal, Jabed; Yan, Yan Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data. (English) Zbl 1496.92075 Jin, Lingling (ed.) et al., Comparative genomics. 19th international conference, RECOMB-CG 2022, La Jolla, CA, USA, May 20–21, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13234, 295-310 (2022). MSC: 92D20 68T05 62P10 PDFBibTeX XMLCite \textit{B. S. Puliparambil} et al., Lect. Notes Comput. Sci. 13234, 295--310 (2022; Zbl 1496.92075) Full Text: DOI
Hamm, Thomas; Steinwart, Ingo Intrinsic dimension adaptive partitioning for kernel methods. (English) Zbl 1491.68154 SIAM J. Math. Data Sci. 4, No. 2, 721-749 (2022). MSC: 68T05 62J07 68T09 PDFBibTeX XMLCite \textit{T. Hamm} and \textit{I. Steinwart}, SIAM J. Math. Data Sci. 4, No. 2, 721--749 (2022; Zbl 1491.68154) Full Text: DOI arXiv
Qian, Elizabeth; Farcaş, Ionuţ-Gabriel; Willcox, Karen Reduced operator inference for nonlinear partial differential equations. (English) Zbl 1509.65101 SIAM J. Sci. Comput. 44, No. 4, A1934-A1959 (2022). Reviewer: Hussein Fakih (Nabatieh) MSC: 65M60 68T05 65Z05 62J15 62J05 62J07 35Q30 PDFBibTeX XMLCite \textit{E. Qian} et al., SIAM J. Sci. Comput. 44, No. 4, A1934--A1959 (2022; Zbl 1509.65101) Full Text: DOI arXiv
Zheng, Qingle; Che, Yuezhang Multicategory large margin classification with unequal costs. (English) Zbl 1524.62306 Commun. Stat., Simulation Comput. 51, No. 4, 1801-1813 (2022). MSC: 62H30 62J07 62-08 68T05 PDFBibTeX XMLCite \textit{Q. Zheng} and \textit{Y. Che}, Commun. Stat., Simulation Comput. 51, No. 4, 1801--1813 (2022; Zbl 1524.62306) Full Text: DOI
Oslandsbotn, Andreas; Kereta, Željko; Naumova, Valeriya; Freund, Yoav; Cloninger, Alexander StreaMRAK a streaming multi-resolution adaptive kernel algorithm. (English) Zbl 1510.68089 Appl. Math. Comput. 426, Article ID 127112, 23 p. (2022). MSC: 68T05 46E22 62J07 65D15 68W27 PDFBibTeX XMLCite \textit{A. Oslandsbotn} et al., Appl. Math. Comput. 426, Article ID 127112, 23 p. (2022; Zbl 1510.68089) Full Text: DOI arXiv
Hastie, Trevor; Montanari, Andrea; Rosset, Saharon; Tibshirani, Ryan J. Surprises in high-dimensional ridgeless least squares interpolation. (English) Zbl 1486.62202 Ann. Stat. 50, No. 2, 949-986 (2022). MSC: 62J05 62J07 62J02 62F12 60B20 68T05 PDFBibTeX XMLCite \textit{T. Hastie} et al., Ann. Stat. 50, No. 2, 949--986 (2022; Zbl 1486.62202) Full Text: DOI arXiv
Wang, Zhu MM for penalized estimation. (English) Zbl 1484.62036 Test 31, No. 1, 54-75 (2022). MSC: 62F35 62H30 62J07 62-08 68U01 PDFBibTeX XMLCite \textit{Z. Wang}, Test 31, No. 1, 54--75 (2022; Zbl 1484.62036) Full Text: DOI arXiv
Saleh, A. K. Md. Ehsanes; Arashi, Mohammad; Saleh, Resve A.; Norouzirad, Mina Rank-based methods for shrinkage and selection. With application to machine learning. (English) Zbl 07483837 Hoboken, NJ: John Wiley & Sons (ISBN 978-1-119-62539-1/hbk). xxxi, 448 p. (2022). MSC: 62-01 62J07 62G35 62Jxx 62H12 62M10 62P30 62-04 68T05 PDFBibTeX XMLCite \textit{A. K. Md. E. Saleh} et al., Rank-based methods for shrinkage and selection. With application to machine learning. Hoboken, NJ: John Wiley \& Sons (2022; Zbl 07483837) Full Text: DOI
Chou, Ping; Chuang, Howard Hao-Chun; Chou, Yen-Chun; Liang, Ting-Peng Predictive analytics for customer repurchase: interdisciplinary integration of buy till you die modeling and machine learning. (English) Zbl 1490.62432 Eur. J. Oper. Res. 296, No. 2, 635-651 (2022). MSC: 62P20 62H30 68T05 PDFBibTeX XMLCite \textit{P. Chou} et al., Eur. J. Oper. Res. 296, No. 2, 635--651 (2022; Zbl 1490.62432) Full Text: DOI
Messenger, Daniel A.; Dall’Anese, Emiliano; Bortz, David M. Online Weak-form Sparse Identification of Partial Differential Equations. arXiv:2203.03979 Preprint, arXiv:2203.03979 [math.OC] (2022). MSC: 62J07 68T05 93-10 BibTeX Cite \textit{D. A. Messenger} et al., ``Online Weak-form Sparse Identification of Partial Differential Equations'', Preprint, arXiv:2203.03979 [math.OC] (2022) Full Text: arXiv OA License
Allerbo, Oskar; Jörnsten, Rebecka Non-linear, sparse dimensionality reduction via path Lasso penalized autoencoders. (English) Zbl 07626798 J. Mach. Learn. Res. 22, Paper No. 283, 28 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{O. Allerbo} and \textit{R. Jörnsten}, J. Mach. Learn. Res. 22, Paper No. 283, 28 p. (2021; Zbl 07626798) Full Text: arXiv Link
Lederer, Johannes; Vogt, Michael Estimating the lasso’s effective noise. (English) Zbl 07626791 J. Mach. Learn. Res. 22, Paper No. 276, 32 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Lederer} and \textit{M. Vogt}, J. Mach. Learn. Res. 22, Paper No. 276, 32 p. (2021; Zbl 07626791) Full Text: arXiv Link
Wang, Fei; Zhou, Ling; Tang, Lu; Song, Peter X. K. Method of contraction-expansion (MOCE) for simultaneous inference in linear models. (English) Zbl 07626707 J. Mach. Learn. Res. 22, Paper No. 192, 32 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Wang} et al., J. Mach. Learn. Res. 22, Paper No. 192, 32 p. (2021; Zbl 07626707) Full Text: arXiv Link
Song, Changyue; Liu, Kaibo; Zhang, Xi Collusion detection and ground truth inference in crowdsourcing for labeling tasks. (English) Zbl 07626705 J. Mach. Learn. Res. 22, Paper No. 190, 45 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Song} et al., J. Mach. Learn. Res. 22, Paper No. 190, 45 p. (2021; Zbl 07626705) Full Text: Link
Li, Zhouping; Wang, Hui Improving \(K\)-means method via shrinkage estimation and LVQ algorithm. (English) Zbl 1497.62153 Commun. Stat., Simulation Comput. 50, No. 11, 3166-3181 (2021). MSC: 62H30 62J07 68T05 PDFBibTeX XMLCite \textit{Z. Li} and \textit{H. Wang}, Commun. Stat., Simulation Comput. 50, No. 11, 3166--3181 (2021; Zbl 1497.62153) Full Text: DOI
Han, Sung Won; Park, Sunghoon; Zhong, Hua; Ryu, Eun-Seok; Wang, Pei; Jung, Sehee; Lim, Jayeon; Yoon, Jeewhan; Kim, SungHwan Estimation of joint directed acyclic graphs with Lasso family for gene networks. (English) Zbl 1497.62282 Commun. Stat., Simulation Comput. 50, No. 9, 2793-2807 (2021). MSC: 62P10 62H22 62H12 62J07 68T05 PDFBibTeX XMLCite \textit{S. W. Han} et al., Commun. Stat., Simulation Comput. 50, No. 9, 2793--2807 (2021; Zbl 1497.62282) Full Text: DOI
Kang, Qian; Fan, Qinwei; Zurada, Jacek M. Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network. (English) Zbl 1483.68340 Inf. Sci. 553, 66-82 (2021). MSC: 68T07 62J07 PDFBibTeX XMLCite \textit{Q. Kang} et al., Inf. Sci. 553, 66--82 (2021; Zbl 1483.68340) Full Text: DOI
He, Xin; Wang, Junhui; Lv, Shaogao Efficient kernel-based variable selection with sparsistency. (English) Zbl 1524.62179 Stat. Sin. 31, No. 4, 2123-2151 (2021). MSC: 62G08 62J05 62J07 62G20 68T05 PDFBibTeX XMLCite \textit{X. He} et al., Stat. Sin. 31, No. 4, 2123--2151 (2021; Zbl 1524.62179) Full Text: DOI arXiv
She, Yiyuan; Wang, Zhifeng; Jin, Jiuwu Analysis of generalized Bregman surrogate algorithms for nonsmooth nonconvex statistical learning. (English) Zbl 1486.62212 Ann. Stat. 49, No. 6, 3434-3459 (2021). MSC: 62J07 62G08 62J05 68T05 90C26 PDFBibTeX XMLCite \textit{Y. She} et al., Ann. Stat. 49, No. 6, 3434--3459 (2021; Zbl 1486.62212) Full Text: DOI arXiv
Zheng, Qianzhen; Xu, Pingfeng; Cao, Lei Latent-variable Gaussian graphical model structure learning by GEMS algorithm. (Chinese. English summary) Zbl 1488.62079 J. Northeast Norm. Univ., Nat. Sci. Ed. 53, No. 2, 37-41 (2021). MSC: 62H22 62J07 68T05 62P10 PDFBibTeX XMLCite \textit{Q. Zheng} et al., J. Northeast Norm. Univ., Nat. Sci. Ed. 53, No. 2, 37--41 (2021; Zbl 1488.62079) Full Text: DOI
Georges, Christophre; Pereira, Javier Market stability with machine learning agents. (English) Zbl 1475.91341 J. Econ. Dyn. Control 122, Article ID 104032, 20 p. (2021). MSC: 91G15 68T05 PDFBibTeX XMLCite \textit{C. Georges} and \textit{J. Pereira}, J. Econ. Dyn. Control 122, Article ID 104032, 20 p. (2021; Zbl 1475.91341) Full Text: DOI
Wang, Dongxia; Lei, Yongmei; Zhou, Jianhui Hybrid MPI/OpenMP parallel asynchronous distributed alternating direction method of multipliers. (English) Zbl 1483.68325 Computing 103, No. 12, 2737-2762 (2021). MSC: 68T05 62J12 68W10 68W15 PDFBibTeX XMLCite \textit{D. Wang} et al., Computing 103, No. 12, 2737--2762 (2021; Zbl 1483.68325) Full Text: DOI
Rezaei, Mostafa; Cribben, Ivor; Samorani, Michele A clustering-based feature selection method for automatically generated relational attributes. (English) Zbl 1477.62187 Ann. Oper. Res. 303, No. 1-2, 233-263 (2021). MSC: 62J07 62H30 62P20 68T05 PDFBibTeX XMLCite \textit{M. Rezaei} et al., Ann. Oper. Res. 303, No. 1--2, 233--263 (2021; Zbl 1477.62187) Full Text: DOI
Jiang, He; Tao, Changqi; Dong, Yao; Xiong, Ren Robust low-rank multiple kernel learning with compound regularization. (English) Zbl 1487.62029 Eur. J. Oper. Res. 295, No. 2, 634-647 (2021). MSC: 62G07 62G35 62J07 68T05 PDFBibTeX XMLCite \textit{H. Jiang} et al., Eur. J. Oper. Res. 295, No. 2, 634--647 (2021; Zbl 1487.62029) Full Text: DOI
Sun, Hongwei; Wu, Qiang Optimal rates of distributed regression with imperfect kernels. (English) Zbl 1528.68348 J. Mach. Learn. Res. 22, Paper No. 171, 34 p. (2021). MSC: 68T05 62J07 PDFBibTeX XMLCite \textit{H. Sun} and \textit{Q. Wu}, J. Mach. Learn. Res. 22, Paper No. 171, 34 p. (2021; Zbl 1528.68348) Full Text: arXiv Link
Jammal, Mahdi; Canu, Stephane; Abdallah, Maher Joint outlier detection and variable selection using discrete optimization. (English) Zbl 1472.62110 SORT 45, No. 1, 47-66 (2021). MSC: 62J05 62J20 62J07 62G35 90C11 68T05 PDFBibTeX XMLCite \textit{M. Jammal} et al., SORT 45, No. 1, 47--66 (2021; Zbl 1472.62110) Full Text: DOI
Yu, Zhan; Ho, Daniel W. C.; Shi, Zhongjie; Zhou, Ding-Xuan Robust kernel-based distribution regression. (English) Zbl 1511.68234 Inverse Probl. 37, No. 10, 34 p. (2021). MSC: 68T05 62J02 62J07 PDFBibTeX XMLCite \textit{Z. Yu} et al., Inverse Probl. 37, No. 10, 34 p. (2021; Zbl 1511.68234) Full Text: DOI arXiv
Suzuki, Joe Sparse estimation with math and Python. 100 exercises for building logic. (English) Zbl 1475.68003 Singapore: Springer (ISBN 978-981-16-1437-8/pbk; 978-981-16-1438-5/ebook). x, 246 p. (2021). MSC: 68-01 62-01 62H12 62J05 62J07 68T05 PDFBibTeX XMLCite \textit{J. Suzuki}, Sparse estimation with math and Python. 100 exercises for building logic. Singapore: Springer (2021; Zbl 1475.68003) Full Text: DOI
Qiu, Hongxiang; Luedtke, Alex; Carone, Marco Universal sieve-based strategies for efficient estimation using machine learning tools. (English) Zbl 1476.62067 Bernoulli 27, No. 4, 2300-2336 (2021). Reviewer: Tiago Magalhães (Juiz de Fora) MSC: 62G05 62J07 68T05 11N36 PDFBibTeX XMLCite \textit{H. Qiu} et al., Bernoulli 27, No. 4, 2300--2336 (2021; Zbl 1476.62067) Full Text: DOI arXiv
Suzuki, Joe Sparse estimation with math and R. 100 exercises for building logic. (English) Zbl 1470.68008 Singapore: Springer (ISBN 978-981-16-1445-3/pbk; 978-981-16-1446-0/ebook). x, 234 p. (2021). MSC: 68-01 62-01 62H12 62J05 62J07 68T05 PDFBibTeX XMLCite \textit{J. Suzuki}, Sparse estimation with math and R. 100 exercises for building logic. Singapore: Springer (2021; Zbl 1470.68008) Full Text: DOI
Ye, Steven Siwei; Madrid Padilla, Oscar Hernan Non-parametric quantile regression via the K-NN fused Lasso. (English) Zbl 07370628 J. Mach. Learn. Res. 22, Paper No. 111, 38 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{S. S. Ye} and \textit{O. H. Madrid Padilla}, J. Mach. Learn. Res. 22, Paper No. 111, 38 p. (2021; Zbl 07370628) Full Text: arXiv Link
Aziznejad, Shayan; Unser, Michael Multikernel regression with sparsity constraint. (English) Zbl 1479.46026 SIAM J. Math. Data Sci. 3, No. 1, 201-224 (2021). MSC: 46E22 46E27 47A52 62G08 68T05 PDFBibTeX XMLCite \textit{S. Aziznejad} and \textit{M. Unser}, SIAM J. Math. Data Sci. 3, No. 1, 201--224 (2021; Zbl 1479.46026) Full Text: DOI arXiv
Dobriban, Edgar; Sheng, Yue Distributed linear regression by averaging. (English) Zbl 1486.62199 Ann. Stat. 49, No. 2, 918-943 (2021). Reviewer: Hongwei Sun (Jinan) MSC: 62J05 60B20 62J07 65Y05 68T05 90C25 PDFBibTeX XMLCite \textit{E. Dobriban} and \textit{Y. Sheng}, Ann. Stat. 49, No. 2, 918--943 (2021; Zbl 1486.62199) Full Text: DOI arXiv
Li, Zhihan; Fan, Yuwei; Ying, Lexing Multilevel fine-tuning: closing generalization gaps in approximation of solution maps under a limited budget for training data. (English) Zbl 1468.65220 Multiscale Model. Simul. 19, No. 1, 344-373 (2021). MSC: 65N55 65C20 65C05 62J07 62M45 68T05 PDFBibTeX XMLCite \textit{Z. Li} et al., Multiscale Model. Simul. 19, No. 1, 344--373 (2021; Zbl 1468.65220) Full Text: DOI arXiv
Huling, Jared D.; Smith, Maureen A.; Chen, Guanhua A two-part framework for estimating individualized treatment rules from semicontinuous outcomes. (English) Zbl 1457.62346 J. Am. Stat. Assoc. 116, No. 533, 210-223 (2021). MSC: 62P10 62J07 68T05 PDFBibTeX XMLCite \textit{J. D. Huling} et al., J. Am. Stat. Assoc. 116, No. 533, 210--223 (2021; Zbl 1457.62346) Full Text: DOI
Chen, Ting-Huei; Chatterjee, Nilanjan; Landi, Maria Teresa; Shi, Jianxin A penalized regression framework for building polygenic risk models based on summary statistics from genome-wide association studies and incorporating external information. (English) Zbl 1457.62337 J. Am. Stat. Assoc. 116, No. 533, 133-143 (2021). MSC: 62P10 62J07 68T05 PDFBibTeX XMLCite \textit{T.-H. Chen} et al., J. Am. Stat. Assoc. 116, No. 533, 133--143 (2021; Zbl 1457.62337) Full Text: DOI Link
Qiu, Yue Complete subset least squares support vector regression. (English) Zbl 1462.62642 Econ. Lett. 200, Article ID 109737, 5 p. (2021). MSC: 62P05 62J07 62M20 68T05 PDFBibTeX XMLCite \textit{Y. Qiu}, Econ. Lett. 200, Article ID 109737, 5 p. (2021; Zbl 1462.62642) Full Text: DOI
Xia, Yifan; Hou, Yongchao; Lv, Shaogao Learning rates for partially linear support vector machine in high dimensions. (English) Zbl 1462.68165 Anal. Appl., Singap. 19, No. 1, 167-182 (2021). MSC: 68T05 62G05 62J07 PDFBibTeX XMLCite \textit{Y. Xia} et al., Anal. Appl., Singap. 19, No. 1, 167--182 (2021; Zbl 1462.68165) Full Text: DOI arXiv
Chu, Fei; Su, Jiaming; Liang, Tao; Chen, Junlong; Wang, Xuesong; Ma, Xiaoping Sparsity method for network structure of broad learning system based on lasso and elastic net. (Chinese. English summary) Zbl 1474.68245 Control Theory Appl. 37, No. 12, 2543-2550 (2020). MSC: 68T05 62J07 68R10 PDFBibTeX XMLCite \textit{F. Chu} et al., Control Theory Appl. 37, No. 12, 2543--2550 (2020; Zbl 1474.68245)
Sheikhpour, Razieh; Sarram, Mehdi Agha; Gharaghani, Sajjad; Chahooki, Mohammad Ali Zare A robust graph-based semi-supervised sparse feature selection method. (English) Zbl 1459.68176 Inf. Sci. 531, 13-30 (2020). MSC: 68T05 62H30 62J07 62R30 PDFBibTeX XMLCite \textit{R. Sheikhpour} et al., Inf. Sci. 531, 13--30 (2020; Zbl 1459.68176) Full Text: DOI
Jin, Taisong; Cao, Liujuan; Jie, Feiran; Ji, Rongrong Link-aware semi-supervised hypergraph. (English) Zbl 1456.68152 Inf. Sci. 507, 339-355 (2020). MSC: 68T05 05C65 62J07 PDFBibTeX XMLCite \textit{T. Jin} et al., Inf. Sci. 507, 339--355 (2020; Zbl 1456.68152) Full Text: DOI
Achlyustin, S. B.; Melnikov, A. V.; Zhilin, R. A. Prediction of the integrated indicator of quality of a new object under the conditions of multicollinearity of reference data. (English) Zbl 1524.68255 Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 66-80 (2020). MSC: 68T05 62J07 PDFBibTeX XMLCite \textit{S. B. Achlyustin} et al., Vestn. Yuzhno-Ural. Gos. Univ., Ser. Mat. Model. Program. 13, No. 4, 66--80 (2020; Zbl 1524.68255) Full Text: DOI MNR
Geoffrey, Chinot; Guillaume, Lecué; Matthieu, Lerasle Robust high dimensional learning for Lipschitz and convex losses. (English) Zbl 07307489 J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Geoffrey} et al., J. Mach. Learn. Res. 21, Paper No. 233, 47 p. (2020; Zbl 07307489) Full Text: arXiv Link
Ortelli, Francesco; van de Geer, Sara Adaptive rates for total variation image denoising. (English) Zbl 07306926 J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{F. Ortelli} and \textit{S. van de Geer}, J. Mach. Learn. Res. 21, Paper No. 247, 38 p. (2020; Zbl 07306926) Full Text: arXiv Link
Bertsimas, Dimitris; Paskov, Ivan Stable regression: on the power of optimization over randomization. (English) Zbl 07306911 J. Mach. Learn. Res. 21, Paper No. 230, 25 p. (2020). MSC: 68T05 62J05 62J07 PDFBibTeX XMLCite \textit{D. Bertsimas} and \textit{I. Paskov}, J. Mach. Learn. Res. 21, Paper No. 230, 25 p. (2020; Zbl 07306911) Full Text: Link
Chi, Eric C.; Gaines, Brian J.; Sun, Will Wei; Zhou, Hua; Yang, Jian Provable convex co-clustering of tensors. (English) Zbl 07306902 J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020). MSC: 62H30 68T05 15A69 62R07 PDFBibTeX XMLCite \textit{E. C. Chi} et al., J. Mach. Learn. Res. 21, Paper No. 214, 58 p. (2020; Zbl 07306902) Full Text: arXiv Link
Kobak, Dmitry; Lomond, Jonathan; Sanchez, Benoit The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization. (English) Zbl 1525.68116 J. Mach. Learn. Res. 21, Paper No. 169, 16 p. (2020). MSC: 68T05 62J05 62J07 62R07 PDFBibTeX XMLCite \textit{D. Kobak} et al., J. Mach. Learn. Res. 21, Paper No. 169, 16 p. (2020; Zbl 1525.68116) Full Text: arXiv Link
Nicholson, William B.; Wilms, Ines; Bien, Jacob; Matteson, David S. High dimensional forecasting via interpretable vector autoregression. (English) Zbl 1525.62038 J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020). MSC: 62M10 62H12 68T05 PDFBibTeX XMLCite \textit{W. B. Nicholson} et al., J. Mach. Learn. Res. 21, Paper No. 166, 52 p. (2020; Zbl 1525.62038) Full Text: arXiv Link
Takada, Masaaki; Suzuki, Taiji; Fujisawa, Hironori Independently interpretable Lasso for generalized linear models. (English) Zbl 1473.68171 Neural Comput. 32, No. 6, 1168-1221 (2020). MSC: 68T05 62J07 PDFBibTeX XMLCite \textit{M. Takada} et al., Neural Comput. 32, No. 6, 1168--1221 (2020; Zbl 1473.68171) Full Text: DOI
Sechidis, Konstantinos; Azzimonti, Laura; Pocock, Adam; Corani, Giorgio; Weatherall, James; Brown, Gavin Correction to: “Efficient feature selection using shrinkage estimators”. (English) Zbl 1472.68157 Mach. Learn. 109, No. 8, 1565-1567 (2020). MSC: 68T05 62J07 68P30 PDFBibTeX XMLCite \textit{K. Sechidis} et al., Mach. Learn. 109, No. 8, 1565--1567 (2020; Zbl 1472.68157) Full Text: DOI
Wu, Chong; Xu, Gongjun; Shen, Xiaotong; Pan, Wei A regularization-based adaptive test for high-dimensional GLMs. (English) Zbl 1517.62066 J. Mach. Learn. Res. 21, Paper No. 128, 67 p. (2020). MSC: 62H15 62-04 62J12 62P10 68T05 PDFBibTeX XMLCite \textit{C. Wu} et al., J. Mach. Learn. Res. 21, Paper No. 128, 67 p. (2020; Zbl 1517.62066) Full Text: Link
Lin, Shao-Bo; Wang, Di; Zhou, Ding-Xuan Distributed kernel ridge regression with communications. (English) Zbl 1502.68259 J. Mach. Learn. Res. 21, Paper No. 93, 38 p. (2020). MSC: 68T05 62J07 68W15 PDFBibTeX XMLCite \textit{S.-B. Lin} et al., J. Mach. Learn. Res. 21, Paper No. 93, 38 p. (2020; Zbl 1502.68259) Full Text: arXiv Link
Yuan, Xiaoming; Zeng, Shangzhi; Zhang, Jin Discerning the linear convergence of ADMM for structured convex optimization through the lens of variational analysis. (English) Zbl 1504.90096 J. Mach. Learn. Res. 21, Paper No. 83, 75 p. (2020). MSC: 90C25 49J53 62J07 68T05 PDFBibTeX XMLCite \textit{X. Yuan} et al., J. Mach. Learn. Res. 21, Paper No. 83, 75 p. (2020; Zbl 1504.90096) Full Text: Link
Dobriban, Edgar; Sheng, Yue WONDER: weighted one-shot distributed ridge regression in high dimensions. (English) Zbl 1498.68232 J. Mach. Learn. Res. 21, Paper No. 66, 52 p. (2020). MSC: 68T05 60B20 62J07 62R07 PDFBibTeX XMLCite \textit{E. Dobriban} and \textit{Y. Sheng}, J. Mach. Learn. Res. 21, Paper No. 66, 52 p. (2020; Zbl 1498.68232) Full Text: arXiv Link
Pircalabelu, Eugen; Claeskens, Gerda Community-based group graphical Lasso. (English) Zbl 1498.62117 J. Mach. Learn. Res. 21, Paper No. 64, 32 p. (2020). MSC: 62H22 68T05 PDFBibTeX XMLCite \textit{E. Pircalabelu} and \textit{G. Claeskens}, J. Mach. Learn. Res. 21, Paper No. 64, 32 p. (2020; Zbl 1498.62117) Full Text: Link
Blanco, Victor; Puerto, Justo; Rodriguez-Chia, Antonio M. On \(\ell_p\)-support vector machines and multidimensional kernels. (English) Zbl 1498.68224 J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020). MSC: 68T05 62H30 62J07 90C22 PDFBibTeX XMLCite \textit{V. Blanco} et al., J. Mach. Learn. Res. 21, Paper No. 14, 29 p. (2020; Zbl 1498.68224) Full Text: arXiv Link
Lecué, Guillaume; Lerasle, Matthieu Robust machine learning by median-of-means: theory and practice. (English) Zbl 1487.62034 Ann. Stat. 48, No. 2, 906-931 (2020). MSC: 62G08 62C20 62J07 62H12 68T05 PDFBibTeX XMLCite \textit{G. Lecué} and \textit{M. Lerasle}, Ann. Stat. 48, No. 2, 906--931 (2020; Zbl 1487.62034) Full Text: DOI arXiv Euclid
Rosset, Saharon; Tibshirani, Ryan J. “From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation”: rejoinder. (English) Zbl 1437.62352 J. Am. Stat. Assoc. 115, No. 529, 161-162 (2020). MSC: 62M20 62J07 62J10 68T05 PDFBibTeX XMLCite \textit{S. Rosset} and \textit{R. J. Tibshirani}, J. Am. Stat. Assoc. 115, No. 529, 161--162 (2020; Zbl 1437.62352) Full Text: DOI
Wager, Stefan Cross-validation, risk estimation, and model selection: comment on a paper by Rosset and Tibshirani. (English) Zbl 1437.62355 J. Am. Stat. Assoc. 115, No. 529, 157-160 (2020). MSC: 62M20 62J07 62J10 68T05 PDFBibTeX XMLCite \textit{S. Wager}, J. Am. Stat. Assoc. 115, No. 529, 157--160 (2020; Zbl 1437.62355) Full Text: DOI
Shen, Xiaotong; Huang, Hsin-Cheng Discussion of “From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation”. (English) Zbl 1437.62353 J. Am. Stat. Assoc. 115, No. 529, 152-156 (2020). MSC: 62M20 62J07 62J10 68T05 PDFBibTeX XMLCite \textit{X. Shen} and \textit{H.-C. Huang}, J. Am. Stat. Assoc. 115, No. 529, 152--156 (2020; Zbl 1437.62353) Full Text: DOI
Rosset, Saharon; Tibshirani, Ryan J. From fixed-X to random-X regression: bias-variance decompositions, covariance penalties, and prediction error estimation. (English) Zbl 1437.62351 J. Am. Stat. Assoc. 115, No. 529, 138-151 (2020); correction ibid. 117, No. 537, 529 (2022). MSC: 62M20 62J07 62J10 68T05 PDFBibTeX XMLCite \textit{S. Rosset} and \textit{R. J. Tibshirani}, J. Am. Stat. Assoc. 115, No. 529, 138--151 (2020; Zbl 1437.62351) Full Text: DOI arXiv
Yang, Tianbao; Zhang, Lijun; Lin, Qihang; Zhu, Shenghuo; Jin, Rong High-dimensional model recovery from random sketched data by exploring intrinsic sparsity. (English) Zbl 1472.68165 Mach. Learn. 109, No. 5, 899-938 (2020). Reviewer: Yunwen Lei (Hong Kong) MSC: 68T05 62H30 62J02 62J07 PDFBibTeX XMLCite \textit{T. Yang} et al., Mach. Learn. 109, No. 5, 899--938 (2020; Zbl 1472.68165) Full Text: DOI
Chu, Jianghao; Lee, Tae-Hwy; Ullah, Aman Component-wise AdaBoost algorithms for high-dimensional binary classification and class probability prediction. (English) Zbl 1443.62313 Vinod, Hrishikesh D. (ed.) et al., Financial, macro and micro econometrics using R. Amsterdam: Elsevier/North Holland. Handb. Stat. 42, 81-114 (2020). MSC: 62M45 62H30 62-08 68T05 62J07 62J12 PDFBibTeX XMLCite \textit{J. Chu} et al., Handb. Stat. 42, 81--114 (2020; Zbl 1443.62313) Full Text: DOI Link
Grasmair, Markus; Klock, Timo; Naumova, Valeriya Adaptive multi-penalty regularization based on a generalized Lasso path. (English) Zbl 1434.68408 Appl. Comput. Harmon. Anal. 49, No. 1, 30-55 (2020). MSC: 68T05 62J07 94A12 PDFBibTeX XMLCite \textit{M. Grasmair} et al., Appl. Comput. Harmon. Anal. 49, No. 1, 30--55 (2020; Zbl 1434.68408) Full Text: DOI arXiv
Lei, J.; Liu, Q. B.; Wang, X. Y. Ensemble learning-based computational imaging method for electrical capacitance tomography. (English) Zbl 1481.68036 Appl. Math. Modelling 82, 521-545 (2020). MSC: 68T05 62J07 65D18 65F55 65K10 PDFBibTeX XMLCite \textit{J. Lei} et al., Appl. Math. Modelling 82, 521--545 (2020; Zbl 1481.68036) Full Text: DOI
Chambolle, A.; Holler, M.; Pock, T. A convex variational model for learning convolutional image atoms from incomplete data. (English) Zbl 1434.68625 J. Math. Imaging Vis. 62, No. 3, 417-444 (2020). MSC: 68U10 49K30 49M29 65F22 68T05 94A08 PDFBibTeX XMLCite \textit{A. Chambolle} et al., J. Math. Imaging Vis. 62, No. 3, 417--444 (2020; Zbl 1434.68625) Full Text: DOI arXiv
Lin, Junhong; Rudi, Alessandro; Rosasco, Lorenzo; Cevher, Volkan Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces. (English) Zbl 1436.62146 Appl. Comput. Harmon. Anal. 48, No. 3, 868-890 (2020). MSC: 62G08 46E22 62H25 62J07 62M15 68T05 PDFBibTeX XMLCite \textit{J. Lin} et al., Appl. Comput. Harmon. Anal. 48, No. 3, 868--890 (2020; Zbl 1436.62146) Full Text: DOI arXiv
Huang, Chendi; Sun, Xinwei; Xiong, Jiechao; Yao, Yuan Boosting with structural sparsity: a differential inclusion approach. (English) Zbl 1494.68215 Appl. Comput. Harmon. Anal. 48, No. 1, 1-45 (2020). MSC: 68T05 34A60 62J05 62J07 90C25 PDFBibTeX XMLCite \textit{C. Huang} et al., Appl. Comput. Harmon. Anal. 48, No. 1, 1--45 (2020; Zbl 1494.68215) Full Text: DOI arXiv
Chi, Eric C.; Steinerberger, Stefan Recovering trees with convex clustering. (English) Zbl 1482.68194 SIAM J. Math. Data Sci. 1, No. 3, 383-407 (2019). MSC: 68T05 62H30 62J07 90C25 PDFBibTeX XMLCite \textit{E. C. Chi} and \textit{S. Steinerberger}, SIAM J. Math. Data Sci. 1, No. 3, 383--407 (2019; Zbl 1482.68194) Full Text: DOI arXiv
Gautam, Chandan; Tiwari, Aruna; Tanveer, M. KOC+: kernel ridge regression based one-class classification using privileged information. (English) Zbl 1459.62139 Inf. Sci. 504, 324-333 (2019). MSC: 62J07 62H30 62G08 68T05 PDFBibTeX XMLCite \textit{C. Gautam} et al., Inf. Sci. 504, 324--333 (2019; Zbl 1459.62139) Full Text: DOI
Jin, Taisong; Yu, Zhengtao; Gao, Yue; Gao, Shengxiang; Sun, Xiaoshuai; Li, Cuihua Robust \(\ell_2\)-hypergraph and its applications. (English) Zbl 1453.68151 Inf. Sci. 501, 708-723 (2019). MSC: 68T05 05C65 62J07 PDFBibTeX XMLCite \textit{T. Jin} et al., Inf. Sci. 501, 708--723 (2019; Zbl 1453.68151) Full Text: DOI
Pan, Xianli; Xu, Yitian A safe reinforced feature screening strategy for Lasso based on feasible solutions. (English) Zbl 1442.68199 Inf. Sci. 477, 132-147 (2019). MSC: 68T05 62J07 PDFBibTeX XMLCite \textit{X. Pan} and \textit{Y. Xu}, Inf. Sci. 477, 132--147 (2019; Zbl 1442.68199) Full Text: DOI
Yuan, Beibei; Heiser, Willem; De Rooij, Mark The \(\delta \)-machine: classification based on distances towards prototypes. (English) Zbl 1436.62296 J. Classif. 36, No. 3, 442-470 (2019). MSC: 62H30 62J07 62R20 68T05 PDFBibTeX XMLCite \textit{B. Yuan} et al., J. Classif. 36, No. 3, 442--470 (2019; Zbl 1436.62296) Full Text: DOI
Matsui, Kota; Kumagai, Wataru; Kanamori, Kenta; Nishikimi, Mitsuaki; Kanamori, Takafumi Variable selection for nonparametric learning with power series kernels. (English) Zbl 1435.62136 Neural Comput. 31, No. 8, 1718-1750 (2019). MSC: 62G07 68T05 62J07 PDFBibTeX XMLCite \textit{K. Matsui} et al., Neural Comput. 31, No. 8, 1718--1750 (2019; Zbl 1435.62136) Full Text: DOI arXiv
Luo, Ziyan; Sun, Defeng; Toh, Kim-Chuan; Xiu, Naihua Solving the OSCAR and SLOPE models using a semismooth Newton-based augmented Lagrangian method. (English) Zbl 1434.68430 J. Mach. Learn. Res. 20, Paper No. 106, 25 p. (2019). MSC: 68T05 62J05 62J07 PDFBibTeX XMLCite \textit{Z. Luo} et al., J. Mach. Learn. Res. 20, Paper No. 106, 25 p. (2019; Zbl 1434.68430) Full Text: arXiv Link
Kumagai, Wataru; Kanamori, Takafumi Risk bound of transfer learning using parametric feature mapping and its application to sparse coding. (English) Zbl 1440.68221 Mach. Learn. 108, No. 11, 1975-2008 (2019). MSC: 68T05 62F10 62J07 PDFBibTeX XMLCite \textit{W. Kumagai} and \textit{T. Kanamori}, Mach. Learn. 108, No. 11, 1975--2008 (2019; Zbl 1440.68221) Full Text: DOI
Blanchet, Jose; Kang, Yang; Murthy, Karthyek Robust Wasserstein profile inference and applications to machine learning. (English) Zbl 1436.62336 J. Appl. Probab. 56, No. 3, 830-857 (2019). MSC: 62J07 62J12 68T05 PDFBibTeX XMLCite \textit{J. Blanchet} et al., J. Appl. Probab. 56, No. 3, 830--857 (2019; Zbl 1436.62336) Full Text: DOI arXiv
Zhang, Chunxia; Li, Junli Variable selection ensemble methods. (Chinese. English summary) Zbl 1438.62132 Chin. J. Eng. Math. 36, No. 1, 1-17 (2019). MSC: 62J05 62J07 62F07 68T05 62R07 PDFBibTeX XMLCite \textit{C. Zhang} and \textit{J. Li}, Chin. J. Eng. Math. 36, No. 1, 1--17 (2019; Zbl 1438.62132) Full Text: DOI
Sechidis, Konstantinos; Azzimonti, Laura; Pocock, Adam; Corani, Giorgio; Weatherall, James; Brown, Gavin Efficient feature selection using shrinkage estimators. (English) Zbl 1472.68156 Mach. Learn. 108, No. 8-9, 1261-1286 (2019); correction ibid. 109, No. 8, 1565-1567 (2020). MSC: 68T05 62J07 68P30 PDFBibTeX XMLCite \textit{K. Sechidis} et al., Mach. Learn. 108, No. 8--9, 1261--1286 (2019; Zbl 1472.68156) Full Text: DOI
Chamroukhi, Faicel; Huynh, Bao-Tuyen Regularized estimation and feature selection in mixtures of experts. (Estimation par maximum de vraisemblance régularisé et sélection de variables dans les modèles de mélanges d’experts.) (English. French summary) Zbl 1417.62170 J. SFdS 160, No. 1, 57-85 (2019). MSC: 62H30 62G05 62H12 62J07 68T05 PDFBibTeX XMLCite \textit{F. Chamroukhi} and \textit{B.-T. Huynh}, J. SFdS 160, No. 1, 57--85 (2019; Zbl 1417.62170) Full Text: arXiv Link
Lin, Shao-Bo; Lei, Yunwen; Zhou, Ding-Xuan Boosted kernel ridge regression: optimal learning rates and early stopping. (English) Zbl 1484.68189 J. Mach. Learn. Res. 20, Paper No. 46, 36 p. (2019). MSC: 68T05 62G08 62J07 62L15 PDFBibTeX XMLCite \textit{S.-B. Lin} et al., J. Mach. Learn. Res. 20, Paper No. 46, 36 p. (2019; Zbl 1484.68189) Full Text: Link
Fattahi, Salar; Sojoudi, Somayeh Graphical Lasso and thresholding: equivalence and closed-form solutions. (English) Zbl 1483.68296 J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019). MSC: 68T05 62H12 62H22 62J07 PDFBibTeX XMLCite \textit{S. Fattahi} and \textit{S. Sojoudi}, J. Mach. Learn. Res. 20, Paper No. 10, 44 p. (2019; Zbl 1483.68296) Full Text: arXiv Link
Borboudakis, Giorgos; Tsamardinos, Ioannis Forward-backward selection with early dropping. (English) Zbl 1483.68279 J. Mach. Learn. Res. 20, Paper No. 8, 39 p. (2019). MSC: 68T05 62H22 62J07 68T20 PDFBibTeX XMLCite \textit{G. Borboudakis} and \textit{I. Tsamardinos}, J. Mach. Learn. Res. 20, Paper No. 8, 39 p. (2019; Zbl 1483.68279) Full Text: arXiv Link
Kang, Chuanze; Huo, Yanhao; Xin, Lihui; Tian, Baoguang; Yu, Bin Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine. (English) Zbl 1406.92192 J. Theor. Biol. 463, 77-91 (2019). MSC: 92C40 68T05 62H30 62J05 62J07 PDFBibTeX XMLCite \textit{C. Kang} et al., J. Theor. Biol. 463, 77--91 (2019; Zbl 1406.92192) Full Text: DOI
Stock, Michiel; Pahikkala, Tapio; Airola, Antti; De Baets, Bernard; Waegeman, Willem A comparative study of pairwise learning methods based on kernel ridge regression. (English) Zbl 1472.68158 Neural Comput. 30, No. 8, 2245-2283 (2018). MSC: 68T05 62G08 62J07 PDFBibTeX XMLCite \textit{M. Stock} et al., Neural Comput. 30, No. 8, 2245--2283 (2018; Zbl 1472.68158) Full Text: DOI arXiv
Sakata, Ayaka Estimator of prediction error based on approximate message passing for penalized linear regression. (English) Zbl 1459.62135 J. Stat. Mech. Theory Exp. 2018, No. 6, Article ID 063404, 24 p. (2018). MSC: 62J05 62J07 68T05 PDFBibTeX XMLCite \textit{A. Sakata}, J. Stat. Mech. Theory Exp. 2018, No. 6, Article ID 063404, 24 p. (2018; Zbl 1459.62135) Full Text: DOI arXiv
Le Thi, Hoai An; Le, Hoai Minh; Phan, Duy Nhat; Tran, Bach Stochastic DCA for sparse multiclass logistic regression. (English) Zbl 1429.68226 Le, Nguyen-Thinh (ed.) et al., Advanced computational methods for knowledge engineering. Proceedings of the 5th international conference on computer science, applied mathematics and applications, ICCSAMA 2017, Berlin, Germany, June 30 – July 1, 2017. Cham: Springer. Adv. Intell. Syst. Comput. 629, 1-12 (2018). MSC: 68T05 62H30 62J12 PDFBibTeX XMLCite \textit{H. A. Le Thi} et al., Adv. Intell. Syst. Comput. 629, 1--12 (2018; Zbl 1429.68226) Full Text: DOI
Liu, Enjiang; Song, Yunsheng; Liang, Jiye An accelerator for kernel ridge regression algorithms based on data partition. (Chinese. English summary) Zbl 1424.68121 J. Univ. Sci. Technol. China 48, No. 4, 284-289 (2018). MSC: 68T05 62H25 62J07 PDFBibTeX XMLCite \textit{E. Liu} et al., J. Univ. Sci. Technol. China 48, No. 4, 284--289 (2018; Zbl 1424.68121) Full Text: DOI
Jewell, Sean; Witten, Daniela Exact spike train inference via \(\ell_{0}\) optimization. (English) Zbl 1412.62159 Ann. Appl. Stat. 12, No. 4, 2457-2482 (2018). MSC: 62P10 62J07 62H12 68T05 PDFBibTeX XMLCite \textit{S. Jewell} and \textit{D. Witten}, Ann. Appl. Stat. 12, No. 4, 2457--2482 (2018; Zbl 1412.62159) Full Text: DOI arXiv Euclid