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20篇 您的检索式:作者名="TRESP V"
    题名 作者 年代 出处 被引量
1Nonlinear time-series prediction with missing and noisy data 显示文摘Tresp V Hofmann R 1998Neural Computation1998,10,:1
2Soft clustering on graphs 显示文摘Yu Kai Yu Shipeng Tresp V 2006Adv Neur Inform Process Syst2006,18,:1
3Probabilistic memory-based collaborative filtering显示文摘Yu K Schwaighofer A Tresp V 2004IEEE Transaction on Knowledge and Data Engineering2004,16,1:1
4Probabilistic memory-based collaborative filtering显示文摘Yu K Schwaighofer A Tresp V 2004Knowledge and Data Engineering IEEE Transactions on2004,16,1:1
5Multi-Output regularizedfeature projection显示文摘Yu Shi-peng Yu Kai Tresp V 2006IEEE Conference on knowledge and data engineering2006,8,12:1
6Averaging,maximum penalized likelihood and Bayesian estimation for improving Gaus- sian mixture probability density estimates显示文摘ORMONEIT D TRESP V 1998IEEE Transactions on Neural Networks1998,9,4:1
7A Bayesian committee machine显示文摘Tresp V 2000Neural Computation2000,12,:1
8Probabilistic memorybased collaborative filtering显示文摘Yu K Schwaighofer A Tresp V 2004IEEE Transactions on Knowledge and Data Engineering2004,16,1:1
9Probabilistic Memory-based Collaborative Filtering显示文摘Yu Kai Schwaighofer A Tresp V 2004IEEE Transactions on Knowledgeand Data Engineering2004,16,1:1
10Statistical relational learning of trust显示文摘Rettinger A Nickles M Tresp V 2011Machine Learning2011,82,2:1
11Multi-Output Regularized Feature Projection 显示文摘Yu S Yu K Tresp V 20111EEE Transactions on Knowledge and Data Engineering2011,18,12:1
12Nonlinear time-series prediction with missing and noisy data 显示文摘TRESP V HOFMANN B 1998Neural Computation1998,10,3:1
13Probabilistic memory-based collaborative filtering显示文摘Yu K Schwaighofer A Tresp V Xu X Kriegel HP 2004IEEE Transactions on Knowledge and Data Engineering2004,16,1:1
14Probabilistic memory based collaborative filtering显示文摘Yu K Schwaighofer A Tresp V 2004IEEE Transaction on Knowledge and Data Engineering2004,16,1:1
15A bayesian committee machine显示文摘Tresp V 2000Neural Computation2000,12,:1
16Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates 显示文摘Ormoneit D Tresp V 1998IEEE Transactions on Neural Networks1998,9,4:1
17Probabilistic memory-based collaborative filtering显示文摘YU K SCHWAIGHOFER A TRESP V 2004IEEE Transactions on Knowledge and Data Engineering2004,16,1:1
18Learning Gaussian Process Kernels via Hierarchical Bayes显示文摘Schwaighofer A Tresp V Yu K 2004In Advances in Neural Information Processing Systems2004,,:1
19Representative sam-pling for text classification using support vector ma-chines显示文摘Xu Z Yu K Tresp V 2003Lecture Notes in Computer Science2003,2633,:1
20Representative sampling for text classification using support vector machines 显示文摘XU Z YU K TRESP V 2003LNCS2003,2633,:1
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