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Herausgeber: 
  • Akihiro Yamamoto
  • Tamas Horváth
  • Inductive Logic Programming: 13th International Conference, ILP 2003, Szeged, Hungary, September 29 - October 1, 2003, Proceedings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  September 2003  
    Genre:  EDV / Informatik 
     
    Algorithm / Algorithms / classifiersystems / clustering / complexity / computationallearning / datastructure / descriptionlogics
    ISBN:  9783540201441 
    EAN-Code: 
    9783540201441 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Lecture Notes in Artificial Intelligence
    #2835 - Lecture Notes in Computer Science  
    Dimensionen:  H 235 mm / B 155 mm / D 23 mm 
    Gewicht:  628 gr 
    Seiten:  416 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Invited Papers.- A Personal View of How Best to Apply ILP.- Agents that Reason and Learn.- Research Papers.- Mining Model Trees: A Multi-relational Approach.- Complexity Parameters for First-Order Classes.- A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments.- Applying Theory Revision to the Design of Distributed Databases.- Disjunctive Learning with a Soft-Clustering Method.- ILP for Mathematical Discovery.- An Exhaustive Matching Procedure for the Improvement of Learning Efficiency.- Efficient Data Structures for Inductive Logic Programming.- Graph Kernels and Gaussian Processes for Relational Reinforcement Learning.- On Condensation of a Clause.- A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting.- Comparative Evaluation of Approaches to Propositionalization.- Ideal Refinement of Descriptions in -Log.- Which First-Order Logic Clauses Can Be Learned Using Genetic Algorithms?.- Improved Distances for Structured Data.- Induction of Enzyme Classes from Biological Databases.- Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars.- Induction of the Effects of Actions by Monotonic Methods.- Hybrid Abductive Inductive Learning: A Generalisation of Progol.- Query Optimization in Inductive Logic Programming by Reordering Literals.- Efficient Learning of Unlabeled Term Trees with Contractible Variables from Positive Data.- Relational IBL in Music with a New Structural Similarity Measure.- An Effective Grammar-Based Compression Algorithm for Tree Structured Data.

      
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