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20篇 您的检索式:作者名="LUGOSI G"
    题名 作者 年代 出处 被引量
1Fast nearest neighbor search in dissimilarity spaces显示文摘Farago A Linder T Lugosi G 1993IEEE Transactions on Pattern Analysis and Machine Intelligence1993,15,9:1
2Moment inequalities for functions of independent random variables显示文摘Boucheron S Bousquet O Lugosi G Massart P 2005Ann Probab2005,33,2:1
3Ranking and empirical minimization of U-statistics 显示文摘Clemencon S Lugosi G Vayatis N 2008The Annals of Statistics2008,36,2:1
4Model Selection and Error Estimation显示文摘BARTLETF P L BOUCHERON S LUGOSI G 2002Machine Learning2002,48,:1
5On the rate of conver- gence of regularized boosting classifiers显示文摘Blanchard G Lugosi G Vayatis N 2003Journal of Ma- chine Learning Research2003,4,:1
6On the bayes risk consistency of regularized boosting methods显示文摘Lugosi G Vayatis N 2004Annals Statis2004,32,1:1
7On the bayes-risk consistency of boosting methods显示文摘Lugosi G Vayatis N 2004Ann Statist2004,32,1:1
8Theory of classification:A survey of some recent advances显示文摘Boucheron S Bousquet O Lugosi G 2005ESAIM:Probability and Statistics2005,9,:1
9Model selection and error estimation显示文摘BARLETT P BOUCHERON S LUGOSI G 2001Machine Learing2001,,:1
10On the Bayes-risk consistency of regularized boosting methods显示文摘Lugosi G Vayalis N 2004The Annals of Statistics2004,32,:1
11An inequality for uniform deviations of sample averages from their means显示文摘Peter B Lugosi G 1999Statistics and Probability Letter1999,44,:1
12Nonparametric estimation and classification using radial basis functions显示文摘Krzyzak A Linder T Lugosi G 1996IEEE Trans on Neural Networks1996,7,:1
13Model selection and error estimation显示文摘Bartlett P L Boucheron S Lugosi G 2002Machine learning2002,48,:1
14On the Bayes-risk consistency of regularized boosting methods显示文摘Lugosi G Vayatis N 2004Ann Statis2004,,32:1
15Consistency of random forests and other averaging classifiers显示文摘Biau G Devroye L and Lugosi G 2008JMLR2008,9,9:1
16Data-dependent margin-based generalization bounds for classification显示文摘Antos A Kégl B Linder T Lugosi G 0,,:1
17Fast nearest-neighbor search in dissimilarity spaces 显示文摘FARAGO A LINDER T LUGOSI G 1993IEEE Trans on Pattern Analysis and Machine Intelligence1993,15,9:1
18Empirical quantizer design in the presence of source noise or channel noise显示文摘 LUGOSI G ZEGER K 1998IEEE Trans on Information Theory1998,44,1:1
19Model selection and error estimation显示文摘Petter L Bartlett Stphane Boucheron Gábor Lugosi 2002Machine Learning2002,48,:1
20Internal regret in on-line portfolio selection显示文摘Stoltz G Lugosi G 2005Machine Learning2005,59,1:1
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