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37篇 您的检索式：作者名="VLAHAVAS"

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	题名	作者	年代	出处	被引量
1	Tracking recurring contexts using ensemble classifiers:an application to email filtering显示文摘	Katakis I Tsoumakas G Vlahavas I P		0，，03：	1
2	An ensem- ble uncertainty aware measure for directed hill climbing ensemble pruning 显示文摘	PARTALAS I TSOUMAKAS G VLAHAVAS I	2010	Machine Learning2010，81，3：	1
3	Tracking recurring con- texts using ensemble classifiers:an application to email filtering 显示文摘	Katakis I Tsoumakas G Vlahavas I	2010	Knowledge and Information Systems2010，22，3：	1
4	Random k - labelsets for multi - label classification 显示文摘	Tsoumakas G Katakis I Vlahavas I	2011	IEEE Transactions On Knowledge and Data Engineering2011，，：	1
5	Random k-labelsets for Multilabel Classification 显示文摘	Tsoumakas G Katakis I Vlahavas L	2011	IEEE Transactions on Knowledge and Data Engineering2011，23，7：	1
6	An ensemble uncertainty a- ware measure for directed hill climbing ensemble pruning显示文摘	Partalas I Tsoumakas G Vlahavas I P	2010	Ma- chine Learning2010，81，3：	1
7	Pruning an Ensemble ofClassifiers via Reinforcement Learning显示文摘	Partalas I Tsoumakas G Vlahavas I	2009	Neurocomputing2009，72，79：	1
8	Distributed data mining显示文摘	Tsoumakas G Vlahavas I	2009	Information Science Reference2009，，：	1
9	Pruning an ensemble of classifiers via reinforcement learning显示文摘	Partalas I Tsoumakas G Vlahavas l	2009	Neurocomputing2009，72，79：	1
10	Hierarchical query execution in a parallel object-oriented database system显示文摘	Vlahavas I	1996	Parallel Computing1996，22，3：	1
11	Pruning an ensemble of classifiers via reinforcement learning显示文摘	Partalas I Tsoumakas G Vlahavas I	2009	Neurocomputing2009，72，79：	1
12	Random k-label- sets for muhilabel classification 显示文摘	TSOUMAKAS G KATAKIS I VLAHAVAS I	2011	IEEE Transactions on Knowl- edge and Data Engineering2011，23，7：	1
13	Random k-labelsets for multi-label classification显示文摘	TSOUMAKAS G KATAKIS I VLAHAVAS I	2011	IEEE Transactions on Knowledge and Data Engineering2011，23，7：	1
14	Random k-labelsets for multilabel classification显示文摘	TSOUMAKAS G K I VLAHAVAS I	2011	IEEE Transactions on Knowledge and Data Engineering2011，23，7：	1
15	An Ensemble Uncertainty Aware Measure for Directed Hill Climbing Ensemble Pruning显示文摘	Partalas I Tsoumakas G Vlahavas I P	2010	Machine Learning2010，81，3：	1
16	Random k-labelsets for multilabel classification显示文摘	Tsoumakas G Katakis I Vlahavas I	2011	IEEE Transactions on Knowledge and Data Engineering2011，23，7：	1
17	Pruning an ensemble of classifiers via reinforcement learning显示文摘	Partalas I Tsoumakas G Vlahavas I	2009	Neurocomputing2009，72，79：	1
18	Parallel planning via the distribution of operators显示文摘	VRAKAS D REFANIDIS I VLAHAVAS I	2001	Journal of Experimental & Theoretical Artificial Intelligence2001，13，3：	1
19	Multi-Label Classification:An Overview显示文摘	Tsoumakas G Katakis I Vlahavas I	2007	International Journal of Data Warehousing and Mining2007，3，3：	1
20	Selective Fusion ofHeterogeneous Classifiers显示文摘	Tsoumakas G Angelis L Vlahavas I	2005	Intelligent Data Analysis2005，9，6：	1

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