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Volumn 54, Issue 7, 2010, Pages 1707-1718

Fast kernel conditional density estimation: A dual-tree Monte Carlo approach

Author keywords

Dual tree; Fast algorithms; Kernel conditional density estimation; Large datasets; Monte Carlo; Scalability

Indexed keywords

CONDITIONAL DENSITY; DUAL-TREE; FAST ALGORITHMS; LARGE DATASETS; MONTE CARLO;

EID: 77949570107     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2010.01.011     Document Type: Article
Times cited : (22)

References (28)
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    • Fast kernel matrix-vector multiplication with application to Gaussian process regression
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    • Gray, A.G., Moore, A.W., Nichol, R.C., Connolly, A.J., Genovese, C., Wasserman, L., 2004. Multi-tree methods for statistics on very large datasets in astronomy, in: Ochsenbein, F., Allen, M.G., Egret, D., Astronomical Data Analysis Software and Systems, ADASS, XIII.
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    • Conditional probability density and regression estimators
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.