Efficient pairwise multilabel classification for large-scale problems in the legal domain

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5212 LNAI, Issue PART 2, 2008, Pages 50-65

  Loza Mencía, Eneldo ^a   Fürnkranz, Johannes ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BASE CLASSIFIERS; CLASSIFICATION ALGORITHMS; CONCEPT HIERARCHIES; DOCUMENT COLLECTIONS; DUAL REPRESENTATIONS; EUROPEAN UNIONS; LEGAL DOCUMENTS; LEGAL DOMAINS; MULTI CLASSES; MULTILABEL; PERCEPTRON; PERCEPTRON ALGORITHMS; PREDICTIVE PERFORMANCES;

ALGORITHMS; CLASSIFIERS; DATA STORAGE EQUIPMENT; DATABASE SYSTEMS; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; LOCOMOTIVES; NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RAILROAD CARS; ROBOT LEARNING;

PROBLEM SOLVING;

EID: 56049120625     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87481-2_4     Document Type: Conference Paper

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