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Volumn , Issue , 2007, Pages 2802-2807

Learning to identify unexpected instances in the test set

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CLASSIFIER; NEGATIVE DOCUMENTS; NEGATIVE INSTANCES; NOVEL TECHNIQUES; PRE-DEFINED CLASS; TEST INSTANCES; TEXT CLASSIFICATION; TRAINING EXAMPLE;

EID: 84880896131     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (14)
  • 1
    • 14344258245 scopus 로고    scopus 로고
    • A needle in a haystack: Local one-class optimization
    • K. Crammer and G. Chechik. A needle in a haystack: local one-class optimization, ICML, 2004.
    • (2004) ICML
    • Crammer, K.1    Chechik, G.2
  • 3
    • 0004734838 scopus 로고    scopus 로고
    • PAC learning from positive statistical queries
    • F. Denis, PAC learning from positive statistical queries. ALT, 1998.
    • (1998) ALT
    • Denis, F.1
  • 4
    • 34748853542 scopus 로고    scopus 로고
    • Text classification from positive and unlabeled examples
    • F. Denis, R. Gilleron, and M. Tommasi. Text classification from positive and unlabeled examples. IPMU, 2002.
    • (2002) IPMU
    • Denis, F.1    Gilleron, R.2    Tommasi, M.3
  • 5
    • 28444431513 scopus 로고    scopus 로고
    • Text Classification without Labeled Negative Documents
    • G. Fung, J. Yu, H. Lu, and P Yu. Text Classification without Labeled Negative Documents. ICDE, 2005.
    • (2005) ICDE
    • Fung, G.1    Yu, J.2    Lu, H.3    Yu, P.4
  • 6
    • 85013879626 scopus 로고
    • A sequential algorithm for training text classifiers
    • D. Lewis and W. Gale. A sequential algorithm for training text classifiers. SIGIR, 1994.
    • (1994) SIGIR
    • Lewis, D.1    Gale, W.2
  • 7
    • 84880798303 scopus 로고    scopus 로고
    • Learning to classify text using positive and unlabeled data
    • X. Li, and B. Liu. Learning to classify text using positive and unlabeled data. IJCAI, 2003.
    • (2003) IJCAI
    • Li, X.1    Liu, B.2
  • 8
    • 0742311711 scopus 로고    scopus 로고
    • Partially supervised classification of text documents
    • B. Liu, W. Lee, P. Yu, and X. Li. Partially supervised classification of text documents. ICML, 2002.
    • (2002) ICML
    • Liu, B.1    Lee, W.2    Yu, P.3    Li, X.4
  • 10
    • 0001673996 scopus 로고    scopus 로고
    • A comparison of event models for naïve Bayes text classification
    • A. McCallum, and K. Nigam, A comparison of event models for naïve Bayes text classification. AAAI, 1998.
    • (1998) AAAI
    • McCallum, A.1    Nigam, K.2
  • 11
    • 1942514815 scopus 로고    scopus 로고
    • Learning from the positive data
    • S. Muggleton. Learning from the positive data. Machine Learning, 2001.
    • (2001) Machine Learning
    • Muggleton, S.1
  • 14
    • 0011399035 scopus 로고    scopus 로고
    • PEBL: Positive example based learning for Web page classification using SVM
    • H. Yu, J. Han, and K. Chang. PEBL: Positive example based learning for Web page classification using SVM. KDD, 2002.
    • (2002) KDD
    • Yu, H.1    Han, J.2    Chang, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.