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Deterministic and statistical methods in machine learning. First international workshop, Sheffield, UK, September 7–10, 2004. Revised lectures. (English) Zbl 1131.68016
Lecture Notes in Computer Science 3635. Lecture Notes in Artificial Intelligence. Berlin: Springer (ISBN 978-3-540-29073-5/pbk). viii, 339 p. (2005).

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The articles of this volume will be reviewed individually.
Indexed articles:
Bishop, Christopher M.; Ulusoy, Ilkay, Object recognition via local patch labelling, 1-21 [Zbl 1133.68390]
Bengio, Samy; Bourlard, Hervé, Multi channel sequence processing, 22-36 [Zbl 1133.68389]
Cawley, Gavin C.; Talbot, Nicola L. C.; Janacek, Gareth J.; Peck, Michael W., Bayesian kernel learning methods for parametric accelerated life survival analysis, 37-55 [Zbl 1133.68391]
Lawrence, Neil D.; Platt, John C.; Jordan, Michael I., Extensions of the informative vector machine, 56-87 [Zbl 1133.68396]
Maniyar, Dharmesh M.; Nabney, Ian T., Guiding local regression using visualisation, 98-109 [Zbl 1133.68401]
Murray-Smith, Roderick; Pearlmutter, Barak A., Transformations of Gaussian process priors, 110-123 [Zbl 1133.68404]
Kudová, Petra; Neruda, Roman, Kernel based learning methods: Regularization networks and RBF networks, 124-136 [Zbl 1133.68395]
Goldstein, Jonathan; Plat, John C.; Burges, Christopher J. C., Redundant bit vectors for quickly searching high-dimensional regions, 137-158 [Zbl 1133.68394]
Roberts, Stephen; Choudrey, Rizwan, Bayesian independent component analysis with prior constraints: An application in biosignal analysis, 159-179 [Zbl 1133.68407]
Rogers, Jeremy D.; Gunn, Steve R., Ensemble algorithms for feature selection, 180-198 [Zbl 1133.68408]
Sollich, Peter, Can Gaussian process regression be made robust against model mismatch?, 199-210 [Zbl 1133.68409]
Sollich, Peter; Williams, Christopher K. I., Understanding Gaussian process regression using the equivalent kernel, 211-228 [Zbl 1133.68410]
Sun, Yi; Robinson, Mark; Adams, Rod; Kaye, Paul; Rust, Alistair; Davey, Neil, Integrating binding site predictions using non-linear classification methods, 229-241 [Zbl 1133.68411]
Meng, Hongying; Shawe-Taylor, John; Szedmak, Sandor; Farquhar, Jason D. R., Support vector machine to synthesise kernels, 242-255 [Zbl 1133.68403]
Vanschoenwinkel, Bram; Manderick, Bernard, Appropriate kernel functions for support vector machine learning with sequences of symbolic data, 256-280 [Zbl 1133.68413]
Wang, Bo; Titterington, D. M., Variational Bayes estimation of mixing coefficients, 281-295 [Zbl 1133.68414]
Winkler, Joab R., A comparison of condition numbers for the full rank least squares problem, 296-318 [Zbl 1133.68415]
Li, Yaoyong; Bontcheva, Kalina; Cunningham, Hamish, SVM based learning system for information extraction, 319-339 [Zbl 1133.68399]
MSC:
68-06 Proceedings, conferences, collections, etc. pertaining to computer science
68T05 Learning and adaptive systems in artificial intelligence
00B25 Proceedings of conferences of miscellaneous specific interest
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