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Etiquetabayes nets

Incluye: bayes nets, bayesian networks, Bayesian networks, Bayesian Networks

Obras etiquetadas

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Bayesian Networks in R: with Applications in Systems Biology por Radhakrishnan Nagarajan (2 veces)
Learning Bayesian Networks por Richard E. Neapolitan (2 veces)
Bayesian Networks and Decision Graphs por Finn V. Jensen (2 veces)
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics Book 22) por Uffe B. Kjærulff (1 veces)
The Book of Why: The New Science of Cause and Effect por Judea Pearl (1 veces)
Bayesian Networks: With Examples in R por Marco Scutari (1 veces)
The Theory that Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy por Sharon Bertsch McGrayne (1 veces)
The Probabilistic Mind: Prospects for Bayesian Cognitive Science por Nick Chater (1 veces)
Bayesian Brain: Probabilistic Approaches to Neural Coding por Kenji Doya (1 veces)
Introduction to Statistical Relational Learning por Lise Getoor (1 veces)
Causal Learning: Psychology, Philosophy, and Computation (Oxford Series in Cognitive Development) por Alison Gopnik (1 veces)
The Bayesian Choice: From Decision-Theoretic Foundations to Computational Implementation por Christian P. Robert (1 veces)
Bayesian Nets and Causality: Philosophical and Computational Foundations por Jon Williamson (1 veces)
Causal Models: How People Think About the World and Its Alternatives por Steven Sloman (1 veces)
Graphical Models: Foundations of Neural Computation por Michael I. Jordan (1 veces)
Introduction to Graphical Modelling por David Edwards (1 veces)
Bayesian Epistemology por Luc Bovens (1 veces)
Causation, Prediction, and Search por Peter Spirtes (1 veces)
Bayesian Artificial Intelligence por Kevin B. Korb (1 veces)
The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology por Clark Glymour (1 veces)
Computation, Causation, and Discovery por Clark Glymour (1 veces)
Learning in Graphical Models por Michael I. Jordan (1 veces)
Causality: Models, Reasoning, and Inference por Judea Pearl (1 veces)
Reinforcement Learning: An Introduction por Richard S. Sutton (1 veces)
Machine Learning: A Guide to Current Research por Tom M. Mitchell (1 veces)

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amorgo (17), siljeal (2), discipula (2), jacjon (2), FriisSepu (2), gwatsb (1), gentlemania (1), bertilak (1)

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Etiquetas relacionadas

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Series relacionadas

Adaptive Computation And Machine Learning

Information Science and Statistics

Springer Texts in Statistics

Computational Neuroscience

Texts in Statistical Science

Grupos de etiquetas relacionados

machine learning, math (10)

artificial intelligence, --fiction (4)

philosophy, statistics (4)

probability, statistics, textbook (4)

economics, statistics (3)

AI, non-fiction (2)

AI, philosophy (2)

algorithms, machine learning (2)

business, probability (2)

causality, causation (2)

causation, philosophy (2)

causation, philosophy of science (2)

cognitive science, math (2)

computer science, math (2)

computer science, statistics (2)

economics, probability (2)

forecasting, statistics (2)

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