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Volumn 5246 LNAI, Issue , 2008, Pages 169-176

Dealing with small, noisy and imbalanced data: Machine learning or manual grammars?

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; IMBALANCED DATA; INTERNATIONAL CONFERENCES; LINEAR COMBINATION; MACHINE-LEARNING; SMALL SIZE; TRAINING CORPUS;

EID: 53049083753     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87391-4_23     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 1
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L.: Random forests. Machine Learning 45, 5-32 (2001)
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 2
    • 20444392475 scopus 로고    scopus 로고
    • Using random forest to learn imbalanced data
    • Technical Report 666, Berkeley
    • Chen, C., Liaw, A., Breiman, L.: Using random forest to learn imbalanced data. Technical Report 666, University of California, Berkeley (2004), http://www.stat.berkeley.edu/tech-reports/666.pdf
    • (2004)
    • Chen, C.1    Liaw, A.2    Breiman, L.3
  • 7
    • 53049100816 scopus 로고    scopus 로고
    • Przepiórkowski, A., Degórski, Ł., Spousta, M., Simov, K., Osenova, P., Lemnitzer, L., Kuboň, V., Wójtowicz, B.: Towards the automatic extraction of definitions in Slavic. In: [5], pp. 43-50 (2007b)
    • Przepiórkowski, A., Degórski, Ł., Spousta, M., Simov, K., Osenova, P., Lemnitzer, L., Kuboň, V., Wójtowicz, B.: Towards the automatic extraction of definitions in Slavic. In: [5], pp. 43-50 (2007b)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.