SèrieAdaptive Computation And Machine Learning

19 Obres Popularitat 11,942 (742 Membres) 1,305 Llibres 11 Ressenyes 4.1
Bioinformatics: The Machine Learning Approach per Pierre Baldi 83 exemplars
Boosting: Foundations and Algorithms per Robert E. Schapire 26 exemplars, 1 ressenya
Causation, Prediction, and Search per Peter Spirtes 36 exemplars, 1 ressenya
Deep Learning per Ian Goodfellow 297 exemplars, 1 ressenya
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) per Jonas Peters 21 exemplars
Foundations of Machine Learning per Mehryar Mohri 56 exemplars, 1 ressenya
Gaussian Processes for Machine Learning per Carl Edward Rasmussen 66 exemplars, 1 ressenya
Graphical Models for Machine Learning and Digital Communication per Brendan J. Frey 14 exemplars
Introduction to Machine Learning per Ethem Alpaydin 118 exemplars
Introduction to Statistical Relational Learning per Lise Getoor 22 exemplars, 2 ressenyes
Learning in Graphical Models per Michael I. Jordan 26 exemplars
Learning Kernel Classifiers: Theory and Algorithms per Ralf Herbrich 18 exemplars, 1 ressenya
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond per Bernhard Schölkopf 53 exemplars
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) per Masashi Sugiyama 3 exemplars
Machine Learning: A Probabilistic Perspective per Kevin P. Murphy 138 exemplars
The Minimum Description Length Principle per Peter D. Grünwald 25 exemplars, 1 ressenya
Principles of Data Mining per David J. Hand 86 exemplars
Reinforcement Learning: An Introduction per Richard S. Sutton 176 exemplars, 1 ressenya
Semi-Supervised Learning per Olivier Chapelle 24 exemplars, 1 ressenya

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