ReihenAdaptive Computation And Machine Learning

20 Werke Beliebtheit 11,997 (748 Mitglieder) 1,312 Bücher 11 Rezensionen 4.1
TitelVerlag / bibliographische Angaben
Bioinformatics: The Machine Learning Approach von Pierre Baldi 83 Exemplare
Boosting: Foundations and Algorithms von Robert E. Schapire 26 Exemplare, 1 Rezension
Causation, Prediction, and Search von Peter Spirtes 36 Exemplare, 1 Rezension
Deep Learning von Ian Goodfellow 300 Exemplare, 1 Rezension
Elements of Causal Inference: Foundations and Learning Algorithms (Adaptive Computation and Machine Learning) von Jonas Peters 21 Exemplare
Foundations of Machine Learning von Mehryar Mohri 56 Exemplare, 1 Rezension
Gaussian Processes for Machine Learning von Carl Edward Rasmussen 67 Exemplare, 1 Rezension
Graphical Models for Machine Learning and Digital Communication von Brendan J. Frey 14 Exemplare
Introduction to Machine Learning von Ethem Alpaydin 120 Exemplare
Introduction to Statistical Relational Learning von Lise Getoor 22 Exemplare, 2 Rezensionen
Knowledge Graphs: Fundamentals, Techniques, and Applications von Mayank Kejriwal 18 Exemplare
Learning in Graphical Models von Michael I. Jordan 26 Exemplare
Learning Kernel Classifiers: Theory and Algorithms von Ralf Herbrich 18 Exemplare, 1 Rezension
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond von Bernhard Schölkopf 54 Exemplare
Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation (Adaptive Computation and Machine Learning series) von Masashi Sugiyama 3 Exemplare
Machine Learning: A Probabilistic Perspective von Kevin P. Murphy 138 Exemplare
The Minimum Description Length Principle von Peter D. Grünwald 25 Exemplare, 1 Rezension
Principles of Data Mining von David J. Hand 86 Exemplare
Reinforcement Learning: An Introduction von Richard S. Sutton 176 Exemplare, 1 Rezension
Semi-Supervised Learning von Olivier Chapelle 24 Exemplare, 1 Rezension

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