Borgqvist, Johannes G.; Gerlee, Philip; Lundholm, Carl Turing pattern formation on the sphere is robust to the removal of a hole. (English) Zbl 07806698 J. Math. Biol. 88, No. 2, Paper No. 23, 22 p. (2024). MSC: 92C15 35B36 PDFBibTeX XMLCite \textit{J. G. Borgqvist} et al., J. Math. Biol. 88, No. 2, Paper No. 23, 22 p. (2024; Zbl 07806698) Full Text: DOI OA License
Cavoretto, Roberto; De Rossi, Alessandra; Lancellotti, Sandro Bayesian approach for radial kernel parameter tuning. (English) Zbl 07797212 J. Comput. Appl. Math. 441, Article ID 115716, 13 p. (2024). MSC: 65D05 65K10 41A05 PDFBibTeX XMLCite \textit{R. Cavoretto} et al., J. Comput. Appl. Math. 441, Article ID 115716, 13 p. (2024; Zbl 07797212) Full Text: DOI arXiv
Collier, Zachary K.; Leite, Walter L.; Zhang, Haobai Estimating propensity scores using neural networks and traditional methods: a comparative simulation study. (English) Zbl 07773980 Commun. Stat., Simulation Comput. 52, No. 9, 4545-4560 (2023). MSC: 62-XX PDFBibTeX XMLCite \textit{Z. K. Collier} et al., Commun. Stat., Simulation Comput. 52, No. 9, 4545--4560 (2023; Zbl 07773980) Full Text: DOI
Kirtland, Aaron; Botvinick-Greenhouse, Jonah; DeBrito, Marianne; Osborne, Megan; Johnson, Casey; Martin, Robert S.; Araki, Samuel J.; Eckhardt, Daniel Q. An unstructured mesh approach to nonlinear noise reduction for coupled systems. (English) Zbl 07773374 SIAM J. Appl. Dyn. Syst. 22, No. 4, 2927-2944 (2023). MSC: 37M10 94A12 62M15 PDFBibTeX XMLCite \textit{A. Kirtland} et al., SIAM J. Appl. Dyn. Syst. 22, No. 4, 2927--2944 (2023; Zbl 07773374) Full Text: DOI arXiv
Moffett, Alexander S.; Deng, Youyuan; Levine, Herbert Modeling the role of immune cell conversion in the tumor-immune microenvironment. (English) Zbl 1522.92015 Bull. Math. Biol. 85, No. 10, Paper No. 93, 30 p. (2023). MSC: 92C32 92C37 PDFBibTeX XMLCite \textit{A. S. Moffett} et al., Bull. Math. Biol. 85, No. 10, Paper No. 93, 30 p. (2023; Zbl 1522.92015) Full Text: DOI
Lämmle, Sven; Bogoclu, Can; Cremanns, Kevin; Roos, Dirk Gradient and uncertainty enhanced sequential sampling for global fit. (English) Zbl 07736339 Comput. Methods Appl. Mech. Eng. 415, Article ID 116226, 23 p. (2023). MSC: 68-XX 62-XX PDFBibTeX XMLCite \textit{S. Lämmle} et al., Comput. Methods Appl. Mech. Eng. 415, Article ID 116226, 23 p. (2023; Zbl 07736339) Full Text: DOI
Gonzalez-Saiz, Ernesto; Garcia-Gonzalez, Daniel Model-driven identification framework for optimal constitutive modeling from kinematics and rheological arrangement. (English) Zbl 07736327 Comput. Methods Appl. Mech. Eng. 415, Article ID 116211, 29 p. (2023). MSC: 92-XX 74-XX PDFBibTeX XMLCite \textit{E. Gonzalez-Saiz} and \textit{D. Garcia-Gonzalez}, Comput. Methods Appl. Mech. Eng. 415, Article ID 116211, 29 p. (2023; Zbl 07736327) Full Text: DOI
Alfaro, Juan C.; Aledo, Juan A.; Gámez, José A. Multi-dimensional Bayesian network classifiers for partial label ranking. (English) Zbl 07734007 Int. J. Approx. Reasoning 160, Article ID 108950, 18 p. (2023). MSC: 68T37 PDFBibTeX XMLCite \textit{J. C. Alfaro} et al., Int. J. Approx. Reasoning 160, Article ID 108950, 18 p. (2023; Zbl 07734007) Full Text: DOI
He, Zezhen; Shaposhnik, Yaron Visualizing the implicit model selection tradeoff. (English) Zbl 07732097 J. Artif. Intell. Res. (JAIR) 76, 829-881 (2023). MSC: 68Txx PDFBibTeX XMLCite \textit{Z. He} and \textit{Y. Shaposhnik}, J. Artif. Intell. Res. (JAIR) 76, 829--881 (2023; Zbl 07732097) Full Text: DOI
Merad, Ibrahim; Gaïffas, Stéphane Robust supervised learning with coordinate gradient descent. (English) Zbl 1517.62038 Stat. Comput. 33, No. 5, Paper No. 116, 39 p. (2023). MSC: 62-08 62F35 68T05 PDFBibTeX XMLCite \textit{I. Merad} and \textit{S. Gaïffas}, Stat. Comput. 33, No. 5, Paper No. 116, 39 p. (2023; Zbl 1517.62038) Full Text: DOI arXiv
Schumann, Yannis; Neumann, Philipp On linear models for discrete operator inference in time dependent problems. (English) Zbl 1514.65106 J. Comput. Appl. Math. 425, Article ID 115022, 13 p. (2023). MSC: 65M06 65M12 47F99 PDFBibTeX XMLCite \textit{Y. Schumann} and \textit{P. Neumann}, J. Comput. Appl. Math. 425, Article ID 115022, 13 p. (2023; Zbl 1514.65106) Full Text: DOI
Thielmann, Anton; Weisser, Christoph; Krenz, Astrid; Säfken, Benjamin Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling. (English) Zbl 07697892 J. Appl. Stat. 50, No. 3, 574-591 (2023). MSC: 62-XX PDFBibTeX XMLCite \textit{A. Thielmann} et al., J. Appl. Stat. 50, No. 3, 574--591 (2023; Zbl 07697892) Full Text: DOI
Virgolin, Marco; Fracaros, Saverio On the robustness of sparse counterfactual explanations to adverse perturbations. (English) Zbl 07697280 Artif. Intell. 316, Article ID 103840, 30 p. (2023). MSC: 68Txx PDFBibTeX XMLCite \textit{M. Virgolin} and \textit{S. Fracaros}, Artif. Intell. 316, Article ID 103840, 30 p. (2023; Zbl 07697280) Full Text: DOI arXiv
Ndiaye, Eugene; Takeuchi, Ichiro Root-finding approaches for computing conformal prediction set. (English) Zbl 07694482 Mach. Learn. 112, No. 1, 151-176 (2023). MSC: 68T05 PDFBibTeX XMLCite \textit{E. Ndiaye} and \textit{I. Takeuchi}, Mach. Learn. 112, No. 1, 151--176 (2023; Zbl 07694482) Full Text: DOI arXiv
Larios-Cárdenas, Luis Ángel; Gibou, Frédéric Machine learning algorithms for three-dimensional mean-curvature computation in the level-set method. (English) Zbl 07660347 J. Comput. Phys. 478, Article ID 111995, 37 p. (2023). MSC: 68-XX 68Uxx 65Dxx PDFBibTeX XMLCite \textit{L. Á. Larios-Cárdenas} and \textit{F. Gibou}, J. Comput. Phys. 478, Article ID 111995, 37 p. (2023; Zbl 07660347) Full Text: DOI arXiv
Kou, Shuhan; Golden, Bruce; Poikonen, Stefan Optimal TSP tour length estimation using Sammon maps. (English) Zbl 1511.90352 Optim. Lett. 17, No. 1, 89-105 (2023). MSC: 90C27 PDFBibTeX XMLCite \textit{S. Kou} et al., Optim. Lett. 17, No. 1, 89--105 (2023; Zbl 1511.90352) Full Text: DOI
Corredera, Alberto; Ruiz, Carlos Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer’s optimal trading. (English) Zbl 07633839 Eur. J. Oper. Res. 306, No. 1, 370-388 (2023). MSC: 90Bxx PDFBibTeX XMLCite \textit{A. Corredera} and \textit{C. Ruiz}, Eur. J. Oper. Res. 306, No. 1, 370--388 (2023; Zbl 07633839) Full Text: DOI
Unpingco, José Python for probability, statistics, and machine learning. 3rd edition. (English) Zbl 1502.62010 Cham: Springer (ISBN 978-3-031-04647-6/hbk; 978-3-031-04650-6/pbk; 978-3-031-04648-3/ebook). xvii, 509 p. (2023). MSC: 62-02 62-04 60-04 68-04 68T05 68N15 PDFBibTeX XMLCite \textit{J. Unpingco}, Python for probability, statistics, and machine learning. 3rd edition. Cham: Springer (2023; Zbl 1502.62010) Full Text: DOI
Oesterle, Jonathan; Krämer, Nicholas; Hennig, Philipp; Berens, Philipp Probabilistic solvers enable a straight-forward exploration of numerical uncertainty in neuroscience models. (English) Zbl 1518.92016 J. Comput. Neurosci. 50, No. 4, 485-503 (2022); corrigendum ibid. 51, No. 3, 405 (2023). MSC: 92B20 65L99 65C99 PDFBibTeX XMLCite \textit{J. Oesterle} et al., J. Comput. Neurosci. 50, No. 4, 485--503 (2022; Zbl 1518.92016) Full Text: DOI
Kazakov, Mukhamed Anatol’evich Clustering algorithm based on feature space partitioning. (Russian. English summary) Zbl 1524.68285 Vestn. KRAUNTS, Fiz.-Mat. Nauki 39, No. 2, 136-149 (2022). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{M. A. Kazakov}, Vestn. KRAUNTS, Fiz.-Mat. Nauki 39, No. 2, 136--149 (2022; Zbl 1524.68285) Full Text: DOI MNR
Fan, Liangliang; Situ, Haozhen Compact data encoding for data re-uploading quantum classifier. (English) Zbl 1508.81016 Quantum Inf. Process. 21, No. 3, Paper No. 87, 14 p. (2022). MSC: 81-08 68T10 PDFBibTeX XMLCite \textit{L. Fan} and \textit{H. Situ}, Quantum Inf. Process. 21, No. 3, Paper No. 87, 14 p. (2022; Zbl 1508.81016) Full Text: DOI
Bach, Philipp; Chernozhukov, Victor; Kurz, Malte S.; Spindler, Martin DoubleML – an object-oriented implementation of double machine learning in Python. (English) Zbl 07625206 J. Mach. Learn. Res. 23, Paper No. 53, 6 p. (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{P. Bach} et al., J. Mach. Learn. Res. 23, Paper No. 53, 6 p. (2022; Zbl 07625206) Full Text: arXiv Link
Lenz, Oliver Urs; Peralta, Daniel; Cornelis, Chris Optimised one-class classification performance. (English) Zbl 07624258 Mach. Learn. 111, No. 8, 2863-2883 (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{O. U. Lenz} et al., Mach. Learn. 111, No. 8, 2863--2883 (2022; Zbl 07624258) Full Text: DOI arXiv
Güzel, İsmail; Kaygun, Atabey A new non-Archimedean metric on persistent homology. (English) Zbl 1505.62172 Comput. Stat. 37, No. 4, 1963-1983 (2022). MSC: 62-08 62R40 62H30 68T05 55N31 55N35 PDFBibTeX XMLCite \textit{İ. Güzel} and \textit{A. Kaygun}, Comput. Stat. 37, No. 4, 1963--1983 (2022; Zbl 1505.62172) Full Text: DOI arXiv
Vořechovský, Miroslav Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces. (English) Zbl 1507.74012 Comput. Methods Appl. Mech. Eng. 401, Part B, Article ID 115606, 46 p. (2022). MSC: 74-10 62D05 PDFBibTeX XMLCite \textit{M. Vořechovský}, Comput. Methods Appl. Mech. Eng. 401, Part B, Article ID 115606, 46 p. (2022; Zbl 1507.74012) Full Text: DOI arXiv
Gori, G.; Le Maître, O.; Congedo, P. M. A confidence-based aerospace design approach robust to structural turbulence closure uncertainty. (English) Zbl 1521.76805 Comput. Fluids 246, Article ID 105614, 17 p. (2022). MSC: 76Q05 74F10 74P10 76N15 90C30 PDFBibTeX XMLCite \textit{G. Gori} et al., Comput. Fluids 246, Article ID 105614, 17 p. (2022; Zbl 1521.76805) Full Text: DOI
Curry, Justin; Hang, Haibin; Mio, Washington; Needham, Tom; Okutan, Osman Berat Decorated merge trees for persistent topology. (English) Zbl 1525.55006 J. Appl. Comput. Topol. 6, No. 3, 371-428 (2022). Reviewer: Julian Brüggemann (Bonn) MSC: 55N31 PDFBibTeX XMLCite \textit{J. Curry} et al., J. Appl. Comput. Topol. 6, No. 3, 371--428 (2022; Zbl 1525.55006) Full Text: DOI arXiv
Kou, Shuhan; Golden, Bruce; Poikonen, Stefan Optimal TSP tour length estimation using standard deviation as a predictor. (English) Zbl 1521.90107 Comput. Oper. Res. 148, Article ID 105993, 10 p. (2022). MSC: 90C27 PDFBibTeX XMLCite \textit{S. Kou} et al., Comput. Oper. Res. 148, Article ID 105993, 10 p. (2022; Zbl 1521.90107) Full Text: DOI
Carruba, V.; Aljbaae, S.; Domingos, R. C.; Huaman, M.; Barletta, W. Machine learning applied to asteroid dynamics. (English) Zbl 07592111 Celest. Mech. Dyn. Astron. 134, No. 4, Paper No. 36, 27 p. (2022). MSC: 68-XX 70-XX PDFBibTeX XMLCite \textit{V. Carruba} et al., Celest. Mech. Dyn. Astron. 134, No. 4, Paper No. 36, 27 p. (2022; Zbl 07592111) Full Text: DOI arXiv
Liu, Zeyu; Khojandi, Anahita; Li, Xueping; Mohammed, Akram; Davis, Robert L.; Kamaleswaran, Rishikesan A machine learning-enabled partially observable Markov decision process framework for early sepsis prediction. (English) Zbl 07587556 INFORMS J. Comput. 34, No. 4, 2039-2057 (2022). MSC: 90Cxx PDFBibTeX XMLCite \textit{Z. Liu} et al., INFORMS J. Comput. 34, No. 4, 2039--2057 (2022; Zbl 07587556) Full Text: DOI
Gazagnadou, Nidham; Ibrahim, Mark; Gower, Robert M. RidgeSketch: a fast sketching based solver for large scale ridge regression. (English) Zbl 1508.62001 SIAM J. Matrix Anal. Appl. 43, No. 3, 1440-1468 (2022). MSC: 62-04 62J07 65K10 65Y20 90C06 90C90 PDFBibTeX XMLCite \textit{N. Gazagnadou} et al., SIAM J. Matrix Anal. Appl. 43, No. 3, 1440--1468 (2022; Zbl 1508.62001) Full Text: DOI arXiv
Schweidtmann, Artur M.; Weber, Jana M.; Wende, Christian; Netze, Linus; Mitsos, Alexander Obey validity limits of data-driven models through topological data analysis and one-class classification. (English) Zbl 1494.90088 Optim. Eng. 23, No. 2, 855-876 (2022). MSC: 90C26 90C90 PDFBibTeX XMLCite \textit{A. M. Schweidtmann} et al., Optim. Eng. 23, No. 2, 855--876 (2022; Zbl 1494.90088) Full Text: DOI
Liberti, Leo; Manca, Benedetto Side-constrained minimum sum-of-squares clustering: mathematical programming and random projections. (English) Zbl 1491.90141 J. Glob. Optim. 83, No. 1, 83-118 (2022). MSC: 90C27 90C11 PDFBibTeX XMLCite \textit{L. Liberti} and \textit{B. Manca}, J. Glob. Optim. 83, No. 1, 83--118 (2022; Zbl 1491.90141) Full Text: DOI HAL
Murphy, Kevin P. Probabilistic machine learning. An introduction. (English) Zbl 1498.68002 Adaptive Computation and Machine Learning. Cambridge, MA: MIT Press (ISBN 978-0-262-04682-4/hbk). xxix, 825 p., open access (2022). MSC: 68-01 62C12 68T05 68T07 PDFBibTeX XMLCite \textit{K. P. Murphy}, Probabilistic machine learning. An introduction. Cambridge, MA: MIT Press (2022; Zbl 1498.68002) Full Text: Link
van Veen, Rick; Biehl, Michael; de Vries, Gert-Jan sklvq: scikit learning vector quantization. (English) Zbl 07626746 J. Mach. Learn. Res. 22, Paper No. 231, 6 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{R. van Veen} et al., J. Mach. Learn. Res. 22, Paper No. 231, 6 p. (2021; Zbl 07626746) Full Text: Link
Ansótegui, Carlos; Ojeda, Jesús; Pacheco, Antonio; Pon, Josep; Salvia, Josep M.; Torres, Eduard OptiLog: a framework for SAT-based systems. (English) Zbl 1518.68346 Li, Chu-Min (ed.) et al., Theory and applications of satisfiability testing – SAT 2021. 24th international conference, Barcelona, Spain, July 5–9, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12831, 1-10 (2021). MSC: 68T20 PDFBibTeX XMLCite \textit{C. Ansótegui} et al., Lect. Notes Comput. Sci. 12831, 1--10 (2021; Zbl 1518.68346) Full Text: DOI
Yang, Cong; Wang, Wenfeng; Zhang, Yunhui; Zhang, Zhikai; Shen, Lina; Li, Yipeng; See, John MLife: a lite framework for machine learning lifecycle initialization. (English) Zbl 07465772 Mach. Learn. 110, No. 11-12, 2993-3013 (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{C. Yang} et al., Mach. Learn. 110, No. 11--12, 2993--3013 (2021; Zbl 07465772) Full Text: DOI
Bulavas, Viktoras; Marcinkevičius, Virginijus; Rumiński, Jacek Study of multi-class classification algorithms’ performance on highly imbalanced network intrusion datasets. (English) Zbl 1485.68213 Informatica, Vilnius 32, No. 3, 441-475 (2021). MSC: 68T05 62H30 PDFBibTeX XMLCite \textit{V. Bulavas} et al., Informatica, Vilnius 32, No. 3, 441--475 (2021; Zbl 1485.68213) Full Text: DOI
Shifat-E-Rabbi, Mohammad; Yin, Xuwang; Rubaiyat, Abu Hasnat Mohammad; Li, Shiying; Kolouri, Soheil; Aldroubi, Akram; Nichols, Jonathan M.; Rohde, Gustavo K. Radon cumulative distribution transform subspace modeling for image classification. (English) Zbl 1525.94016 J. Math. Imaging Vis. 63, No. 9, 1185-1203 (2021). MSC: 94A08 94A16 68U10 PDFBibTeX XMLCite \textit{M. Shifat-E-Rabbi} et al., J. Math. Imaging Vis. 63, No. 9, 1185--1203 (2021; Zbl 1525.94016) Full Text: DOI arXiv
Škrlj, Blaž; Martinc, Matej; Lavrač, Nada; Pollak, Senja autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. (English) Zbl 07432828 Mach. Learn. 110, No. 5, 989-1028 (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{B. Škrlj} et al., Mach. Learn. 110, No. 5, 989--1028 (2021; Zbl 07432828) Full Text: DOI
Mastrippolito, Franck; Aubert, Stéphane; Ducros, Frédéric Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger. (English) Zbl 1521.49030 Comput. Fluids 221, Article ID 104899, 22 p. (2021). MSC: 49Q10 80A19 90C29 PDFBibTeX XMLCite \textit{F. Mastrippolito} et al., Comput. Fluids 221, Article ID 104899, 22 p. (2021; Zbl 1521.49030) Full Text: DOI
Mehmanchi, Erfan; Gómez, Andrés; Prokopyev, Oleg A. Solving a class of feature selection problems via fractional 0–1 programming. (English) Zbl 1480.90239 Ann. Oper. Res. 303, No. 1-2, 265-295 (2021). MSC: 90C32 90C11 90C90 PDFBibTeX XMLCite \textit{E. Mehmanchi} et al., Ann. Oper. Res. 303, No. 1--2, 265--295 (2021; Zbl 1480.90239) Full Text: DOI
Civitelli, Enrico; Lapucci, Matteo; Schoen, Fabio; Sortino, Alessio An effective procedure for feature subset selection in logistic regression based on information criteria. (English) Zbl 1472.62120 Comput. Optim. Appl. 80, No. 1, 1-32 (2021). MSC: 62J12 62-08 90C11 90C05 PDFBibTeX XMLCite \textit{E. Civitelli} et al., Comput. Optim. Appl. 80, No. 1, 1--32 (2021; Zbl 1472.62120) Full Text: DOI
Tuckute, Greta; Hansen, Sofie Therese; Kjaer, Troels Wesenberg; Hansen, Lars Kai Real-time decoding of attentional states using closed-loop EEG neurofeedback. (English) Zbl 1466.92098 Neural Comput. 33, No. 4, 967-1004 (2021). MSC: 92C55 92B20 PDFBibTeX XMLCite \textit{G. Tuckute} et al., Neural Comput. 33, No. 4, 967--1004 (2021; Zbl 1466.92098) Full Text: DOI
Pessa, Arthur A. B.; Ribeiro, Haroldo V. ordpy: a Python package for data analysis with permutation entropy and ordinal network methods. (English) Zbl 1465.62006 Chaos 31, No. 6, 063110, 23 p. (2021). MSC: 62-04 62M10 PDFBibTeX XMLCite \textit{A. A. B. Pessa} and \textit{H. V. Ribeiro}, Chaos 31, No. 6, 063110, 23 p. (2021; Zbl 1465.62006) Full Text: DOI arXiv
Montiel, Jacob; Halford, Max; Mastelini, Saulo Martiello; Bolmier, Geoffrey; Sourty, Raphael; Vaysse, Robin; Zouitine, Adil; Gomes, Heitor Murilo; Read, Jesse; Abdessalem, Talel; Bifet, Albert River: machine learning for streaming data in Python. (English) Zbl 07370627 J. Mach. Learn. Res. 22, Paper No. 110, 8 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Montiel} et al., J. Mach. Learn. Res. 22, Paper No. 110, 8 p. (2021; Zbl 07370627) Full Text: arXiv Link
Perry, Ronan; Mischler, Gavin; Guo, Richard; Lee, Theodore; Chang, Alexander; Koul, Arman; Franz, Cameron; Richard, Hugo; Carmichael, Iain; Ablin, Pierre; Gramfort, Alexandre; Vogelstein, Joshua T. mvlearn: multiview machine learning in Python. (English) Zbl 07370626 J. Mach. Learn. Res. 22, Paper No. 109, 7 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{R. Perry} et al., J. Mach. Learn. Res. 22, Paper No. 109, 7 p. (2021; Zbl 07370626) Full Text: arXiv Link
Feurer, Matthias; van Rijn, Jan N.; Kadra, Arlind; Gijsbers, Pieter; Mallik, Neeratyoy; Ravi, Sahithya; Müller, Andreas; Vanschoren, Joaquin; Hutter, Frank OpenML-Python: an extensible Python API for OpenML. (English) Zbl 07370617 J. Mach. Learn. Res. 22, Paper No. 100, 5 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Feurer} et al., J. Mach. Learn. Res. 22, Paper No. 100, 5 p. (2021; Zbl 07370617) Full Text: arXiv Link
Flamary, Rémi; Courty, Nicolas; Gramfort, Alexandre; Alaya, Mokhtar Z.; Boisbunon, Aurélie; Chambon, Stanislas; Chapel, Laetitia; Corenflos, Adrien; Fatras, Kilian; Fournier, Nemo; Gautheron, Léo; Gayraud, Nathalie T. H.; Janati, Hicham; Rakotomamonjy, Alain; Redko, Ievgen; Rolet, Antoine; Schutz, Antony; Seguy, Vivien; Sutherland, Danica J.; Tavenard, Romain; Tong, Alexander; Vayer, Titouan POT: Python optimal transport. (English) Zbl 07370595 J. Mach. Learn. Res. 22, Paper No. 78, 8 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{R. Flamary} et al., J. Mach. Learn. Res. 22, Paper No. 78, 8 p. (2021; Zbl 07370595) Full Text: Link
Oseledets, I. V.; Kharyuk, P. V. Structuring data with block term decomposition: decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model. (English. Russian original) Zbl 1468.62309 Comput. Math. Math. Phys. 61, No. 5, 816-835 (2021); translation from Zh. Vychisl. Mat. Mat. Fiz. 61, No. 5, 845-864 (2021). MSC: 62H30 62R01 68T05 PDFBibTeX XMLCite \textit{I. V. Oseledets} and \textit{P. V. Kharyuk}, Comput. Math. Math. Phys. 61, No. 5, 816--835 (2021; Zbl 1468.62309); translation from Zh. Vychisl. Mat. Mat. Fiz. 61, No. 5, 845--864 (2021) Full Text: DOI
Gao, Kaifeng; Mei, Gang; Piccialli, Francesco; Cuomo, Salvatore; Tu, Jingzhi; Huo, Zenan Julia language in machine learning: algorithms, applications, and open issues. (English) Zbl 1478.68285 Comput. Sci. Rev. 37, Article ID 100254, 12 p. (2020). MSC: 68T05 68N15 68T07 68-02 PDFBibTeX XMLCite \textit{K. Gao} et al., Comput. Sci. Rev. 37, Article ID 100254, 12 p. (2020; Zbl 1478.68285) Full Text: DOI arXiv
Pölsterl, Sebastian scikit-survival: a library for time-to-event analysis built on top of scikit-learn. (English) Zbl 07307481 J. Mach. Learn. Res. 21, Paper No. 212, 6 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Pölsterl}, J. Mach. Learn. Res. 21, Paper No. 212, 6 p. (2020; Zbl 07307481) Full Text: Link
Schreiber, Jacob; Bilmes, Jeffrey; Noble, William Stafford apricot: submodular selection for data summarization in Python. (English) Zbl 07307466 J. Mach. Learn. Res. 21, Paper No. 161, 6 p. (2020). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Schreiber} et al., J. Mach. Learn. Res. 21, Paper No. 161, 6 p. (2020; Zbl 07307466) Full Text: arXiv Link
Muschelli, John III ROC and AUC with a binary predictor: a potentially misleading metric. (English) Zbl 07300768 J. Classif. 37, No. 3, 696-708 (2020). MSC: 62H30 PDFBibTeX XMLCite \textit{J. Muschelli III}, J. Classif. 37, No. 3, 696--708 (2020; Zbl 07300768) Full Text: DOI arXiv
Liberti, Leo Distance geometry and data science. (English) Zbl 1511.51006 Top 28, No. 2, 271-339 (2020). Reviewer: Frank Plastria (Brussels) MSC: 51K05 90C26 90C22 68R12 68T07 68W20 62H30 62R07 PDFBibTeX XMLCite \textit{L. Liberti}, Top 28, No. 2, 271--339 (2020; Zbl 1511.51006) Full Text: DOI arXiv
Schnaubelt, Matthias; Fischer, Thomas G.; Krauss, Christopher Separating the signal from the noise – financial machine learning for Twitter. (English) Zbl 1517.91232 J. Econ. Dyn. Control 114, Article ID 103895, 21 p. (2020). MSC: 91G15 68T05 62P05 91D30 PDFBibTeX XMLCite \textit{M. Schnaubelt} et al., J. Econ. Dyn. Control 114, Article ID 103895, 21 p. (2020; Zbl 1517.91232) Full Text: DOI Link
Tallman, Aaron E.; Swiler, Laura P.; Wang, Yan; McDowell, David L. Uncertainty propagation in reduced order models based on crystal plasticity. (English) Zbl 1442.74047 Comput. Methods Appl. Mech. Eng. 365, Article ID 113009, 19 p. (2020). MSC: 74C20 PDFBibTeX XMLCite \textit{A. E. Tallman} et al., Comput. Methods Appl. Mech. Eng. 365, Article ID 113009, 19 p. (2020; Zbl 1442.74047) Full Text: DOI
Malyscheff, Alexander M.; Trafalis, Theodore B. Kernel classification using a linear programming approach. (English) Zbl 1429.68233 Ann. Math. Artif. Intell. 88, No. 1-3, 39-51 (2020). MSC: 68T05 90C05 PDFBibTeX XMLCite \textit{A. M. Malyscheff} and \textit{T. B. Trafalis}, Ann. Math. Artif. Intell. 88, No. 1--3, 39--51 (2020; Zbl 1429.68233) Full Text: DOI
Guzman, Horacio V.; Tretyakov, Nikita; Kobayashi, Hideki; Fogarty, Aoife C.; Kreis, Karsten; Krajniak, Jakub; Junghans, Christoph; Kremer, Kurt; Stuehn, Torsten ESPResSo++ 2.0: advanced methods for multiscale molecular simulation. (English) Zbl 07683956 Comput. Phys. Commun. 238, 66-76 (2019). MSC: 82-XX 76-XX PDFBibTeX XMLCite \textit{H. V. Guzman} et al., Comput. Phys. Commun. 238, 66--76 (2019; Zbl 07683956) Full Text: DOI arXiv
Unpingco, José Python for probability, statistics, and machine learning. 2nd updated edition. (English) Zbl 1502.62011 Cham: Springer (ISBN 978-3-030-18544-2/hbk; 978-3-030-18547-3/pbk; 978-3-030-18545-9/ebook). xiv, 384 p. (2019). MSC: 62-02 62-04 60-04 68-04 68T05 68N15 PDFBibTeX XMLCite \textit{J. Unpingco}, Python for probability, statistics, and machine learning. 2nd updated edition. Cham: Springer (2019; Zbl 1502.62011) Full Text: DOI
Chien, Hung-Yu; Shih, An-Tong; Yang, Bo-Shuen; Hsiao, Vincent K. S. Fast honey classification using infrared spectrum and machine learning. (English) Zbl 1470.92412 Math. Biosci. Eng. 16, No. 6, 6874-6891 (2019). MSC: 92F05 68T05 PDFBibTeX XMLCite \textit{H.-Y. Chien} et al., Math. Biosci. Eng. 16, No. 6, 6874--6891 (2019; Zbl 1470.92412) Full Text: DOI
Schlosser, Rainer; Walther, Carsten; Boissier, Martin; Uflacker, Matthias Automated repricing and ordering strategies in competitive markets. (English) Zbl 1467.91050 AI Commun. 32, No. 1, 15-29 (2019). MSC: 91B24 68T05 PDFBibTeX XMLCite \textit{R. Schlosser} et al., AI Commun. 32, No. 1, 15--29 (2019; Zbl 1467.91050) Full Text: DOI
Tanaka, Emi; Hui, Francis K. C. Symbolic formulae for linear mixed models. (English) Zbl 1445.62177 Nguyen, Hien (ed.), Statistics and data science. Proceedings of the research school on statistics and data science, RSSDS 2019, Melbourne, Australia, July 24–26, 2019. Singapore: Springer. Commun. Comput. Inf. Sci. 1150, 3-21 (2019). MSC: 62J05 62A01 PDFBibTeX XMLCite \textit{E. Tanaka} and \textit{F. K. C. Hui}, Commun. Comput. Inf. Sci. 1150, 3--21 (2019; Zbl 1445.62177) Full Text: DOI arXiv
Pfister, Niklas; Weichwald, Sebastian; Bühlmann, Peter; Schölkopf, Bernhard Robustifying independent component analysis by adjusting for group-wise stationary noise. (English) Zbl 1446.62172 J. Mach. Learn. Res. 20, Paper No. 147, 50 p. (2019). MSC: 62H25 62M10 62P10 62P12 62-08 PDFBibTeX XMLCite \textit{N. Pfister} et al., J. Mach. Learn. Res. 20, Paper No. 147, 50 p. (2019; Zbl 1446.62172) Full Text: arXiv Link
England, Matthew; Florescu, Dorian Comparing machine learning models to choose the variable ordering for cylindrical algebraic decomposition. (English) Zbl 1428.68399 Kaliszyk, Cezary (ed.) et al., Intelligent computer mathematics. 12th international conference, CICM 2019, Prague, Czech Republic, July 8–12, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11617, 93-108 (2019). MSC: 68W30 68T05 PDFBibTeX XMLCite \textit{M. England} and \textit{D. Florescu}, Lect. Notes Comput. Sci. 11617, 93--108 (2019; Zbl 1428.68399) Full Text: DOI arXiv
Cimrman, Robert; Lukeš, Vladimír; Rohan, Eduard Multiscale finite element calculations in Python using sfepy. (English) Zbl 1433.65005 Adv. Comput. Math. 45, No. 4, 1897-1921 (2019). MSC: 65-04 65M60 74-04 65N30 65Y05 65Y15 74S05 74F15 35Qxx PDFBibTeX XMLCite \textit{R. Cimrman} et al., Adv. Comput. Math. 45, No. 4, 1897--1921 (2019; Zbl 1433.65005) Full Text: DOI arXiv
Johansson, Robert Numerical Python. Scientific computing and data science applications with Numpy, SciPy and Matplotlib. 2nd revised and updated edition. (English) Zbl 1415.65002 Berkeley, CA: Apress (ISBN 978-1-4842-4245-2/pbk; 978-1-4842-4246-9/ebook). xxiii, 700 p. (2019). MSC: 65-01 62-04 65-04 PDFBibTeX XMLCite \textit{R. Johansson}, Numerical Python. Scientific computing and data science applications with Numpy, SciPy and Matplotlib. 2nd revised and updated edition. Berkeley, CA: Apress (2019; Zbl 1415.65002) Full Text: DOI
Zhang, Yazhou; Song, Dawei; Zhang, Peng; Wang, Panpan; Li, Jingfei; Li, Xiang; Wang, Benyou A quantum-inspired multimodal sentiment analysis framework. (English) Zbl 1407.68141 Theor. Comput. Sci. 752, 21-40 (2018). MSC: 68P20 68T10 PDFBibTeX XMLCite \textit{Y. Zhang} et al., Theor. Comput. Sci. 752, 21--40 (2018; Zbl 1407.68141) Full Text: DOI Link
Bacry, Emmanuel; Bompaire, Martin; Deegan, Philip; Gaïffas, Stéphane; Poulsen, Søren V. tick: a Python library for statistical learning, with an emphasis on Hawkes processes and time-dependent models. (English) Zbl 1473.62012 J. Mach. Learn. Res. 18(2017-2018), Paper No. 214, 5 p. (2018). MSC: 62-04 62J12 62N05 60G55 68T05 90-04 PDFBibTeX XMLCite \textit{E. Bacry} et al., J. Mach. Learn. Res. 18, Paper No. 214, 5 p. (2018; Zbl 1473.62012) Full Text: arXiv Link
Ignatiev, Alexey; Morgado, Antonio; Marques-Silva, Joao PySAT: a Python toolkit for prototyping with SAT oracles. (English) Zbl 1484.68215 Beyersdorff, Olaf (ed.) et al., Theory and applications of satisfiability testing – SAT 2018. 21st international conference, SAT 2018, held as part of the Federated Logic Conference, FloC 2018, Oxford, UK, July 9–12, 2018. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 10929, 428-437 (2018). MSC: 68T20 68V15 PDFBibTeX XMLCite \textit{A. Ignatiev} et al., Lect. Notes Comput. Sci. 10929, 428--437 (2018; Zbl 1484.68215) Full Text: DOI
Erickson, Collin B.; Ankenman, Bruce E.; Sanchez, Susan M. Comparison of Gaussian process modeling software. (English) Zbl 1403.62006 Eur. J. Oper. Res. 266, No. 1, 179-192 (2018). MSC: 62-04 62Kxx 62Pxx 60G15 PDFBibTeX XMLCite \textit{C. B. Erickson} et al., Eur. J. Oper. Res. 266, No. 1, 179--192 (2018; Zbl 1403.62006) Full Text: DOI arXiv
Amen, Saeed Using Python to analyse financial markets. (English) Zbl 1420.91538 Ehrhardt, Matthias (ed.) et al., Novel methods in computational finance. Cham: Springer. Math. Ind. 25, 543-559 (2017). MSC: 91G99 91-04 PDFBibTeX XMLCite \textit{S. Amen}, Math. Ind. 25, 543--559 (2017; Zbl 1420.91538) Full Text: DOI
Kchaou, Mourad; Al Ahmadi, Saleh Robust \(H_\infty\) control for nonlinear uncertain switched descriptor systems with time delay and nonlinear input: a sliding mode approach. (English) Zbl 1407.93109 Complexity 2017, Article ID 1027909, 14 p. (2017). MSC: 93B36 93B35 93C10 93C41 PDFBibTeX XMLCite \textit{M. Kchaou} and \textit{S. Al Ahmadi}, Complexity 2017, Article ID 1027909, 14 p. (2017; Zbl 1407.93109) Full Text: DOI
Kristensen, Jesper; Bilionis, Ilias; Zabaras, Nicholas Adaptive simulation selection for the discovery of the ground state line of binary alloys with a limited computational budget. (English) Zbl 1381.74235 Melnik, Roderick (ed.) et al., Recent progress and modern challenges in applied mathematics, modeling and computational science. Toronto: The Fields Institute for Research in the Mathematical Sciences; New York, NY: Springer (ISBN 978-1-4939-6968-5/hbk; 978-1-4939-6969-2/ebook). Fields Institute Communications 79, 185-211 (2017). MSC: 74S30 PDFBibTeX XMLCite \textit{J. Kristensen} et al., Fields Inst. Commun. 79, 185--211 (2017; Zbl 1381.74235) Full Text: DOI
Ehrhardt, Matthias (ed.); Günther, Michael (ed.); ter Maten, E. Jan W. (ed.) Novel methods in computational finance. (English) Zbl 1390.91011 Mathematics in Industry 25. The European Consortium for Mathematics in Industry. Cham: Springer (ISBN 978-3-319-61281-2/hbk; 978-3-319-61282-9/ebook). xviii, 606 p. (2017). MSC: 91-06 91G60 91-08 91-04 00B15 PDFBibTeX XMLCite \textit{M. Ehrhardt} (ed.) et al., Novel methods in computational finance. Cham: Springer (2017; Zbl 1390.91011) Full Text: DOI
Igual, Laura; Seguí, Santi [Vitrià, Jordi; Petia Radeva, Eloi Puertas; Pujol, Oriol; Escalera, Sergio; Dantí, Francesc; Garrido, Lluís] Introduction to data science. A Python approach to concepts, techniques and applications. With contributions from Jordi Vitrià, Eloi Puertas Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido. (English) Zbl 1365.62003 Undergraduate Topics in Computer Science. Cham: Springer (ISBN 978-3-319-50016-4/pbk; 978-3-319-50017-1/ebook). xiv, 218 p. (2017). Reviewer: Irina Ioana Mohorianu (Norwich) MSC: 62-01 62-07 65C60 68T05 62H30 62-04 62J05 62J12 68T35 68T50 68W10 68W15 PDFBibTeX XMLCite \textit{L. Igual} and \textit{S. Seguí}, Introduction to data science. A Python approach to concepts, techniques and applications. With contributions from Jordi Vitrià, Eloi Puertas Petia Radeva, Oriol Pujol, Sergio Escalera, Francesc Dantí and Lluís Garrido. Cham: Springer (2017; Zbl 1365.62003) Full Text: DOI
Chandar, Sarath; Khapra, Mitesh M.; Larochelle, Hugo; Ravindran, Balaraman Correlational neural networks. (English) Zbl 1414.68044 Neural Comput. 28, No. 2, 257-285 (2016). MSC: 68T05 PDFBibTeX XMLCite \textit{S. Chandar} et al., Neural Comput. 28, No. 2, 257--285 (2016; Zbl 1414.68044) Full Text: DOI arXiv
Kramer, Oliver Machine learning for evolution strategies. (English) Zbl 1402.68010 Studies in Big Data 20. Cham: Springer (ISBN 978-3-319-33381-6/hbk; 978-3-319-81500-8/pbk; 978-3-319-33383-0/ebook). ix, 124 p. (2016). MSC: 68-02 68T05 68T20 PDFBibTeX XMLCite \textit{O. Kramer}, Machine learning for evolution strategies. Cham: Springer (2016; Zbl 1402.68010) Full Text: DOI
Ling, Julia; Jones, Reese; Templeton, Jeremy Machine learning strategies for systems with invariance properties. (English) Zbl 1349.76124 J. Comput. Phys. 318, 22-35 (2016). MSC: 76F65 68T05 PDFBibTeX XMLCite \textit{J. Ling} et al., J. Comput. Phys. 318, 22--35 (2016; Zbl 1349.76124) Full Text: DOI
McQueen, James; Meilă, Marina; VanderPlas, Jacob; Zhang, Zhongyue Megaman: scalable manifold learning in Python. (English) Zbl 1393.68155 J. Mach. Learn. Res. 17, Paper No. 148, 5 p. (2016). MSC: 68T05 62-04 62H30 PDFBibTeX XMLCite \textit{J. McQueen} et al., J. Mach. Learn. Res. 17, Paper No. 148, 5 p. (2016; Zbl 1393.68155) Full Text: Link
Hottung, André; Tierney, Kevin A biased random-key genetic algorithm for the container pre-marshalling problem. (English) Zbl 1349.90563 Comput. Oper. Res. 75, 83-102 (2016). MSC: 90B80 68T05 90B35 90C59 PDFBibTeX XMLCite \textit{A. Hottung} and \textit{K. Tierney}, Comput. Oper. Res. 75, 83--102 (2016; Zbl 1349.90563) Full Text: DOI
Unpingco, José Python for probability, statistics, and machine learning. (English) Zbl 1337.62006 Cham: Springer (ISBN 978-3-319-30715-2/hbk; 978-3-319-30717-6/ebook). xv, 276 p. (2016). MSC: 62-02 62-04 60-04 68-04 65C60 68T05 68N15 PDFBibTeX XMLCite \textit{J. Unpingco}, Python for probability, statistics, and machine learning. Cham: Springer (2016; Zbl 1337.62006) Full Text: DOI
Zaytsev, Yury V.; Morrison, Abigail; Deger, Moritz Reconstruction of recurrent synaptic connectivity of thousands of neurons from simulated spiking activity. (English) Zbl 1382.92102 J. Comput. Neurosci. 39, No. 1, 77-103 (2015). MSC: 92C20 PDFBibTeX XMLCite \textit{Y. V. Zaytsev} et al., J. Comput. Neurosci. 39, No. 1, 77--103 (2015; Zbl 1382.92102) Full Text: DOI arXiv
Neumann, Marion; Huang, Shan; Marthaler, Daniel E.; Kersting, Kristian pyGPs – a Python library for Gaussian process regression and classification. (English) Zbl 1351.62006 J. Mach. Learn. Res. 16, 2611-2616 (2015). MSC: 62-04 60G15 62H30 68T05 PDFBibTeX XMLCite \textit{M. Neumann} et al., J. Mach. Learn. Res. 16, 2611--2616 (2015; Zbl 1351.62006) Full Text: Link
Xu, Weiping; Hancock, Edwin R.; Wilson, Richard C. Ricci flow embedding for rectifying non-Euclidean dissimilarity data. (English) Zbl 1373.68359 Pattern Recognition 47, No. 11, 3709-3725 (2014). MSC: 68T10 53C44 68U05 PDFBibTeX XMLCite \textit{W. Xu} et al., Pattern Recognition 47, No. 11, 3709--3725 (2014; Zbl 1373.68359) Full Text: DOI Link
Müller, Andreas C.; Behnke, Sven Pystruct-learning structured prediction in Python. (English) Zbl 1318.68150 J. Mach. Learn. Res. 15, 2055-2060 (2014). MSC: 68T05 62-04 62F10 PDFBibTeX XMLCite \textit{A. C. Müller} and \textit{S. Behnke}, J. Mach. Learn. Res. 15, 2055--2060 (2014; Zbl 1318.68150) Full Text: Link
Pedregosa, Fabian; Varoquaux, Gaël; Gramfort, Alexandre; Michel, Vincent; Thirion, Bertrand; Grisel, Olivier; Blondel, Mathieu; Prettenhofer, Peter; Weiss, Ron; Dubourg, Vincent; Vanderplas, Jake; Passos, Alexandre; Cournapeau, David; Brucher, Matthieu; Perrot, Matthieu; Duchesnay, Édouard Scikit-learn: machine learning in Python. (English) Zbl 1280.68189 J. Mach. Learn. Res. 12, 2825-2830 (2011). MSC: 68T05 68-04 PDFBibTeX XMLCite \textit{F. Pedregosa} et al., J. Mach. Learn. Res. 12, 2825--2830 (2011; Zbl 1280.68189) Full Text: arXiv Link