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Volumn , Issue , 2013, Pages 2176-2182

Instance selection and instance weighting for cross-domain sentiment classification via PU learning

Author keywords

[No Author keywords available]

Indexed keywords

DIFFERENT DOMAINS; EXPLOSIVE GROWTH; INSTANCE SELECTION; INSTANCE WEIGHTING; KULLBACK LEIBLER DIVERGENCE; MAXIMUM WEIGHTED LIKELIHOOD; NAIVE BAYES MODELS; SENTIMENT CLASSIFICATION;

EID: 84896063338     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (21)
  • 18
    • 0037527188 scopus 로고    scopus 로고
    • Improving predictive inference under covariate shift by weighting the log-likelihood function
    • H. Shimodaira. Improving predictive inference under covariate shift by weighting the log-likelihood function. Journal of Statistical Planning and Inference, 90:227-244, 2000.
    • (2000) Journal of Statistical Planning and Inference , vol.90 , pp. 227-244
    • Shimodaira, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.