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Volumn , Issue , 2008, Pages 707-712

A shrinkage approach for modeling non-stationary relational autocorrelation

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; CONVENTIONAL APPROACH; DATA SETS; NONSTATIONARY; PERFORMANCE GAIN; REAL-WORLD DATASETS; RELATIONAL DATA; SHRINKAGE TECHNIQUES; STATIONARITY; STATISTICAL RELATIONAL LEARNING;

EID: 67049137961     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.147     Document Type: Conference Paper
Times cited : (12)

References (21)
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    • Fuentes, M.1
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    • (1999) Proc. of IJCAI'99
    • McCallum, A.1    Nigam, K.2    Rennie, J.3    Seymore, K.4
  • 10
    • 0002332781 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
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  • 15
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    • Distribution-based aggregation for relational learning with identifier attributes
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    • Perlich, C.1    Provost, F.2
  • 16
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    • DOI 10.1007/s10994-006-5833-1
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    • Semi-supervised learning using gaussian fields and harmonic functions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.