Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Learning in Graphical Models (Adaptive Computation and Machine Learning)

Series Foreword The goal of building systems that can adapt to their environments and learn from their experience has a...

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models Adaptive Computation and Machine Learning Thomas Dietterich, Editor Christopher Bishop...

Probabilistic Graphical Models: Principles and Techniques

Probabilistic Graphical Models Adaptive Computation and Machine Learning Thomas Dietterich, Editor Christopher Bishop...

Principles of Data Mining (Adaptive Computation and Machine Learning)

...

Semi-Supervised Learning (Adaptive Computation and Machine Learning)

Semi-Supervised Learning computer science/machine learning Olivier Chapelle and Alexander Zien are Research Scientists...

Graphical Models for Machine Learning and Digital Communication

The Minimum Description Length Principle (Adaptive Computation and Machine Learning)

The Minimum Description Length Principle Peter D. Grünwald foreword by Jorma Rissanen The minimum description length (MD...

Machine Learning: A Probabilistic Perspective

machine learning Machine Learning A Probabilistic Perspective Kevin P. Murphy Today’s Web-enabled deluge of electroni...

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

Learning in Graphical Models (Adaptive Computation and Machine Learning)