Inductive Logic Programming (häftad)
Fler böcker inom
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
312
Utgivningsdatum
1999-06-01
Upplaga
1999 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Dzeroski, Saso (ed.), Flach, Peter A. (ed.)
Illustrationer
VIII, 312 p.
Volymtitel
9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999 - Proceedings
Dimensioner
234 x 156 x 17 mm
Vikt
449 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783540661092

Inductive Logic Programming

9th International Workshop, ILP-99, Bled, Slovenia, June 24-27, 1999, Proceedings

av Saso Dzeroski, Peter A Flach
Häftad,  Engelska, 1999-06-01
783
Köp
Spara som favorit
  • Skickas från oss inom 7-10 vardagar.
  • Fri frakt över 249 kr för privatkunder i Sverige.
Finns även som
Visa alla 1 format & utgåvor
These are the refereed proceedings of the 9th International Conference on Inductive Logic Programming. They range from foundational and methodological issues to applications in natural language processing, knowledge discovery and data mining.
Visa hela texten

Passar bra ihop

  1. Inductive Logic Programming
  2. +
  3. Bad Therapy

De som köpt den här boken har ofta också köpt Bad Therapy av Abigail Shrier (inbunden).

Köp båda 2 för 1048 kr

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av författarna

Saso Dzeroski, Peter A Flach

Innehållsförteckning

I Invited Papers.- Probabilistic Relational Models.- Inductive Databases.- Some Elements of Machine Learning.- II Contributed Papers.- Refinement Operators Can Be (Weakly) Perfect.- Combining Divide-and-Conquer and Separate-and-Conquer for Efficient and Effective Rule Induction.- Refining Complete Hypotheses in ILP.- Acquiring Graphic Design Knowledge with Nonmonotonic Inductive Learning.- Morphosyntactic Tagging of Slovene Using Progol.- Experiments in Predicting Biodegradability.- 1BC: A First-Order Bayesian Classifier.- Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming.- A Strong Complete Schema for Inductive Functional Logic Programming.- Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.- Combining LAPIS and WordNet for the Learning of LR Parsers with Optimal Semantic Constraints.- Learning Word Segmentation Rules for Tag Prediction.- Approximate ILP Rules by Backpropagation Neural Network: A Result on Thai Character Recognition.- Rule Evaluation Measures: A Unifying View.- Improving Part of Speech Disambiguation Rules by Adding Linguistic Knowledge.- On Sufficient Conditions for Learnability of Logic Programs from Positive Data.- A Bounded Search Space of Clausal Theories.- Discovering New Knowledge from Graph Data Using Inductive Logic Programming.- Analogical Prediction.- Generalizing Refinement Operators to Learn Prenex Conjunctive Normal Forms.- Theory Recovery.- Instance based function learning.- Some Properties of Inverse Resolution in Normal Logic Programs.- An Assessment of ILP-assisted models for toxicology and the PTE-3 experiment.

Du kanske gillar