Best subset feature selection for massive mixed-type problems

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

Volumn 4224 LNCS, Issue , 2006, Pages 1048-1056

  Tuv, Eugene ^a   Borisov, Alexander ^b   Torkkola, Kari ^c  

^a INTEL CORPORATION   (United States)

^b Intel Corporation   (Russian Federation)

^c MOTOROLA INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; EMBEDDED SYSTEMS; PROBLEM SOLVING; REDUNDANCY; SENSOR DATA FUSION; SET THEORY;

ENSEMBLE-BASED APPROACH; FEATURE SELECTION APPROACHES; SCALABILITY; STATISTICAL INDEPENDENCE;

FEATURE EXTRACTION;

EID: 33750545990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_125     Document Type: Conference Paper

References (10)

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