The Em Algorithm and Related Statistical Models

Variational Bayesian Learning Theory

Pattern Recognition and Neural Networks

Computational Bayesian Statistics

Variational Bayesian Learning Theory

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods

Partial Differential Equations for Probabilists

Pattern Recognition and Machine Learning for Self-Study I: Supervised Learning

Pattern Recognition And Machine Learning

Statistical Pattern Recognition (Paperback)

Practical Bayesian Inference

Machine Learning Algorithms: Handbook (Paperback)

Statistical Pattern Recognition

Variational Bayesian Learning Theory (Paperback)

Probabilistic Machine Learning Advanced Topics

Statistical Pattern Recognition, 2nd Edition

Introduction to Probability and Stochastic Processes With Applications

Information Theory, Inference and Learning Algorithms

Bayesian Data Analysis, Third Edition

Introduction to Statistical Machine Learning

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Probabilistic Machine Learning An Introduction

Introduction to Probability Theory and Stochastic Processes

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Introduction to Bayesian Statistics

Pattern Recognition in Bioinformatics (Paperback)

Matrix Methods in Data Mining and Pattern Recognition, Second Edition

A First Course in Probability and Markov Chains

Probability, Statistics, and Stochastic Processes

Information Theory and Statistical Learning (Paperback)

Introduction to Probability, Statistics, and Random Processes

Bayesian Inference

Machine Learning 1990 International Conference: Proceedings of the Seventh International Conference (1990), University of Texas, Austin, Texas, June 2

An Introduction to Statistical Learning

An Introduction to Statistical Learning

Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications

Machine Learning, revised and updated edition

Introduction to Machine Learning, fourth edition

Bayesian Econometric Methods

Bayesian Modeling in Bioinformatics

Markov Models: An Introduction to Markov Models

Pre-Owned Springer Theses: On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling (Hardcover)

Markov Models & Optimization

A First Course in Bayesian Statistical Methods

Mathematical Statistics and Stochastic Processes

Machine Learning: Ecml 2005: 16th European Conference on Machine Learning Porto Portugal October 3-7 2005 Proceedin (Paperback)

Probabilistic Machine Learning: An Introduction

Fundamentals of pattern recognition (Prentice-Hall information and system science series) Patrick, Edward A [Used - Fair] [Hardcover]