SériesAdaptive Computation And Machine Learning

19 Œuvres Popularité 11,971 (745 Membres) 1,309 Livres 11 Critiques 4.1
Bioinformatics: The Machine Learning Approach par Pierre Baldi 83 exemplaires
Boosting: Foundations and Algorithms par Robert E. Schapire 26 exemplaires, 1 critique
Causation, Prediction, and Search par Peter Spirtes 36 exemplaires, 1 critique
Deep Learning par Ian Goodfellow 298 exemplaires, 1 critique
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) par Jonas Peters 21 exemplaires
Foundations of Machine Learning par Mehryar Mohri 56 exemplaires, 1 critique
Gaussian Processes for Machine Learning par Carl Edward Rasmussen 67 exemplaires, 1 critique
Graphical Models for Machine Learning and Digital Communication par Brendan J. Frey 14 exemplaires
Introduction to Machine Learning par Ethem Alpaydin 119 exemplaires
Introduction to Statistical Relational Learning par Lise Getoor 22 exemplaires, 2 critiques
Learning in Graphical Models par Michael I. Jordan 26 exemplaires
Learning Kernel Classifiers: Theory and Algorithms par Ralf Herbrich 18 exemplaires, 1 critique
Learning with Kernels: Support Vector Machines, Regularization, Optimization and beyond par Bernhard Schölkopf 54 exemplaires
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) par Masashi Sugiyama 3 exemplaires
Machine Learning: A Probabilistic Perspective par Kevin P. Murphy 138 exemplaires
The Minimum Description Length Principle par Peter D. Grünwald 25 exemplaires, 1 critique
Principles of Data Mining par David J. Hand 86 exemplaires
Reinforcement Learning: An Introduction par Richard S. Sutton 176 exemplaires, 1 critique
Semi-Supervised Learning par Olivier Chapelle 24 exemplaires, 1 critique

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