A new instance-based label ranking approach using the mallows model

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

Volumn 5551 LNCS, Issue PART 1, 2009, Pages 707-716

  Cheng, Weiwei ^a   Hüllermeier, Eyke ^a  

^a PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

Classification; Instance based learning; Label ranking; Maximum likelihood estimation

Indexed keywords

CLASSIFICATION; INCOMPLETE RANKINGS; INSTANCE-BASED LEARNING; PROBABILISTIC MODELING; PROBABILITY MODELS; RANKING APPROACH; RANKING PROBLEMS; STATISTICAL INFORMATION;

ESTIMATION; LABELS; NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 69949096012     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01507-6_80     Document Type: Conference Paper

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