Book123

Technical Principles of Data Mining (Adaptive Computation and Machine Learning)

Author: David J. Hand, Heikki Mannila, Padhraic SmythPublisher: The MIT PressPublish Date: 01 August, 2001ISBN: 026208290X

Programming Principles of Data Mining Adaptive Computation and Machine Learning

Science/Engineering Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)

Peter Spirtes, Clark Glymour, Richard Scheines, "Causation, Prediction, and Search, Second Edition (Adaptive Computation and Machine Learning)"The MIT Press | 2001-01-08 | ISBN: 0262194406 | 565 pages | PDF | 2,8 MBWhat assumptions and ...

Science/Engineering Principles of Data Mining (Adaptive Computation and Machine Learning) (Repost)

Principles of Data Mining (Adaptive Computation and Machine Learning) Publisher: The MIT Press | ISBN: 026208290X | edition 2001 | PDF | 578 pages | 30,64 mbThe growing interest in data mining is motivated by a common problem across discip ...

Technical Gaussian Processes for Machine Learning

Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A ...

Technical Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)

ISBN: 0262194759 Publisher: The MIT Press Author: Bernhard Schlkopf, Alexander J. SmolaDescription:In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine ( ...