Dataset complexity can help to generate accurate ensembles of K-nearest neighbors

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 450-457

  Okun, Oleg ^a,b   Valentini, Giorgio ^a,b  

^a UNIVERSITY OF OULU   (Finland)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOACTIVITY; CLASSIFIERS; CONTROL THEORY; FEATURE EXTRACTION; FORECASTING; FUZZY CONTROL; GENE EXPRESSION; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; TEXT PROCESSING;

CANCER CLASSIFICATIONS; CLASSIFICATION ERRORS; CLASSIFIER ENSEMBLES; ENSEMBLE CONSTRUCTIONS; ENSEMBLE METHODS; FEATURE SUBSETS; GENE EXPRESSION DATASETS; GENE EXPRESSION DATUMS; K-NEAREST NEIGHBORS; MAJORITY VOTES; RANDOMLY SAMPLED;

LEARNING SYSTEMS;

EID: 56349114429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4633831     Document Type: Conference Paper

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