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Inductive Logic Programming [electronic resource] : 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 3194Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004Edition: 1st ed. 2004Description: IX, 358 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540301097
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.1 23
LOC classification:
  • QA76.758
Online resources:
Contents:
Invited Papers -- Automated Synthesis of Data Analysis Programs: Learning in Logic -- At the Interface of Inductive Logic Programming and Statistics -- From Promising to Profitable Applications of ILP: A Case Study in Drug Discovery -- Systems Biology: A New Challenge for ILP -- Scaling Up ILP: Experiences with Extracting Relations from Biomedical Text -- Research Papers -- Macro-Operators Revisited in Inductive Logic Programming -- Bottom-Up ILP Using Large Refinement Steps -- On the Effect of Caching in Recursive Theory Learning -- FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets -- Learning an Approximation to Inductive Logic Programming Clause Evaluation -- Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction -- Automatic Induction of First-Order Logic Descriptors Type Domains from Observations -- On Avoiding Redundancy in Inductive Logic Programming -- Generalization Algorithms for Second-Order Terms -- Circumscription Policies for Induction -- Logical Markov Decision Programs and the Convergence of Logical TD(?) -- Learning Goal Hierarchies from Structured Observations and Expert Annotations -- Efficient Evaluation of Candidate Hypotheses in -log -- An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques -- Improving Rule Evaluation Using Multitask Learning -- Learning Logic Programs with Annotated Disjunctions -- A Simulated Annealing Framework for ILP -- Modelling Inhibition in Metabolic Pathways Through Abduction and Induction -- First Order Random Forests with Complex Aggregates -- A Monte Carlo Study of Randomised Restarted Search in ILP -- Addendum -- Learning, Logic, and Probability: A Unified View.
In: Springer Nature eBook
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Invited Papers -- Automated Synthesis of Data Analysis Programs: Learning in Logic -- At the Interface of Inductive Logic Programming and Statistics -- From Promising to Profitable Applications of ILP: A Case Study in Drug Discovery -- Systems Biology: A New Challenge for ILP -- Scaling Up ILP: Experiences with Extracting Relations from Biomedical Text -- Research Papers -- Macro-Operators Revisited in Inductive Logic Programming -- Bottom-Up ILP Using Large Refinement Steps -- On the Effect of Caching in Recursive Theory Learning -- FOIL-D: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets -- Learning an Approximation to Inductive Logic Programming Clause Evaluation -- Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction -- Automatic Induction of First-Order Logic Descriptors Type Domains from Observations -- On Avoiding Redundancy in Inductive Logic Programming -- Generalization Algorithms for Second-Order Terms -- Circumscription Policies for Induction -- Logical Markov Decision Programs and the Convergence of Logical TD(?) -- Learning Goal Hierarchies from Structured Observations and Expert Annotations -- Efficient Evaluation of Candidate Hypotheses in -log -- An Efficient Algorithm for Reducing Clauses Based on Constraint Satisfaction Techniques -- Improving Rule Evaluation Using Multitask Learning -- Learning Logic Programs with Annotated Disjunctions -- A Simulated Annealing Framework for ILP -- Modelling Inhibition in Metabolic Pathways Through Abduction and Induction -- First Order Random Forests with Complex Aggregates -- A Monte Carlo Study of Randomised Restarted Search in ILP -- Addendum -- Learning, Logic, and Probability: A Unified View.

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