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Markov Logic: An Interface Layer for Artificial Intelligence by Domingos, Pedro; Lowd, Daniel is a Computer Science article available to read on EtoBox.

What is Markov Logic: An Interface Layer for Artificial Intelligence about?

Acknowledgments 9 Introduction 11 The Interface Layer 11 What Is the Interface Layer for AI? 13 Markov Logic and Alchemy: An Emerging Solution 14 Markov Logic and Alchemy: An Emerging Solution 14 Overview of the Book 17 Markov Logic 19 First-Order Logic 19 Markov Networks 20 Markov Logic 22 Relation to Other Approaches 29 Inference 33 Inferring the Most Probable Explanation 33 Computing Conditional Probabilities 34 Lazy Inference 39 Lifted Inference 45 Learning 53 Weight Learning 53 Structure Learning and Theory Revision 62 Unsupervised Learning 66 Transfer Learning 72 Extensions 81 Continuous Domains 81 Infinite Domains 83 Recursive Markov Logic 94 Relational Decision Theory 101 Applications 107 Collective Classification 107 Social Network Analysis and Link Prediction 108 Entity Resolution 111 Information Extraction 114 Unsupervised Coreference Resolution 116 Robot Mapping 121 Link-based Clustering 123 Semantic Network Extraction from Text 126 Conclusion 131 The Alchemy System 135 Input Files 135 Inference 137 Weight Learning 138 Structure Learning 138 Bibliography 141 Biography 155

Who reads Markov Logic: An Interface Layer for Artificial Intelligence?

Author

Domingos, Pedro; Lowd, Daniel

Publisher

Morgan & Claypool; Morgan & Claypool Publishers; Morgan & Claypool Publishers LLC (ISSN 1939-4608)

Published

2009

Field

Computer Science (Physical Sciences)