Combining time and space similarity for small size learning under concept drift

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

Volumn 5722 LNAI, Issue , 2009, Pages 412-421

  Žliobaite, Indre ^a  

^a VILNIUS UNIVERSITY   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM COMPLEXITY; BASE CLASSIFIERS; CLASSIFIER TRAINING; CONCEPT DRIFTS; FIELD APPLICATION; INSTANCE SELECTION; OPTIMAL TRAINING; PEER GROUPS; SEQUENTIAL DATA; SMALL SIZE; TIME AND SPACE;

ALGORITHMS; CLASSIFIERS; COMPUTATIONAL COMPLEXITY; INTELLIGENT SYSTEMS;

LEARNING SYSTEMS;

EID: 70349854909     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04125-9_44     Document Type: Conference Paper

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