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{ "item_title" : "Inductive Logic Programming", "item_author" : [" Stephen Muggleton", "Alireza Tamaddoni-Nezhad", "Francesca A. Lisi "], "item_description" : "Inference and Learning.- Beyond Reward: The Problem of Knowledge and Data.- Exploiting Constraints.- Online Bayesian Inference for the Parameters of PRISM Programs.- Learning Compact Markov Logic Networks with Decision Trees.- Relational Networks of Conditional Preferences.- k -Optimal: A Novel Approximate Inference Algorithm for ProbLog.- Learning Directed Relational Models with Recursive Dependencies.- Integrating Model Checking and Inductive Logic Programming.- Inductive Logic Programming in Answer Set Programming.- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm.- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models.- Conceptual Clustering of Multi-Relational Data.- Expressive Power of Safe First-Order Logical Decision Trees.- Relational Learning for Spatial Relation Extraction from Natural", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/64/231/950/3642319505_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Inductive Logic Programming|Stephen Muggleton

Inductive Logic Programming : 21st International Conference, Ilp 2011, Windsor Great Park, Uk, July 31 -- August 3, 2011, Revised Selected Papers

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Overview

Inference and Learning.- Beyond Reward: The Problem of Knowledge and Data.- Exploiting Constraints.- Online Bayesian Inference for the Parameters of PRISM Programs.- Learning Compact Markov Logic Networks with Decision Trees.- Relational Networks of Conditional Preferences.- k -Optimal: A Novel Approximate Inference Algorithm for ProbLog.- Learning Directed Relational Models with Recursive Dependencies.- Integrating Model Checking and Inductive Logic Programming.- Inductive Logic Programming in Answer Set Programming.- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm.- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models.- Conceptual Clustering of Multi-Relational Data.- Expressive Power of Safe First-Order Logical Decision Trees.- Relational Learning for Spatial Relation Extraction from Natural

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Details

  • ISBN-13: 9783642319501
  • ISBN-10: 3642319505
  • Publisher: Springer
  • Publish Date: July 2012
  • Dimensions: 9.3 x 6.1 x 0.9 inches
  • Shipping Weight: 1.4 pounds
  • Page Count: 406

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