메뉴 건너뛰기




Volumn , Issue , 2008, Pages 1133-1138

Graph-based iterative hybrid feature selection

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL PROBLEMS; DATA SETS; FEATURE SELECTION; FEATURE SELECTION ALGORITHM; FEATURE SETS; GRAPH MODEL; GRAPH-BASED; HYBRID FEATURES; HYBRID FRAMEWORK; LABELED DATA; SAMPLE SELECTION BIAS; SEMI-SUPERVISED; STATISTICAL INFORMATION; UNLABELED DATA;

EID: 67049167710     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.63     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 10
    • 27844550205 scopus 로고    scopus 로고
    • Feature selection for unsupervised and supervised inference: The emergence of sparsity in a weight-based approach
    • A. Wolf, L. & Shashua. Feature selection for unsupervised and supervised inference: the emergence of sparsity in a weight-based approach. Journal of Machine Learning Research, 6:1855-1887, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1855-1887
    • Wolf, A.1    Shashua, L.2
  • 14
    • 33744955193 scopus 로고    scopus 로고
    • PhD thesis, Dept. of Computer Science, University of Carnegie Mellon
    • X. Zhu. Semi-supervised learning with graphs. PhD thesis, Dept. of Computer Science, University of Carnegie Mellon, 2005.
    • (2005) Semi-Supervised Learning with Graphs
    • Zhu, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.