Probabilistic Graphical Models
Explore the definitive reading list on Probabilistic Graphical Models—curated books covering Bayesian networks, Markov random fields, and inference algorithms. From foundational texts by Koller and Friedman to advanced machine learning guides, this collection is your gateway to mastering graphical models and probabilistic reasoning.
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Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
by Koller, Daphne
No summary available.
Book
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
No summary available.
Book
Bayesian Networks and Decision Graphs (Information Science and Statistics)
No summary available.
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Pattern Recognition and Machine Learning (Information Science and Statistics)
No summary available.
