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31篇 您的检索式：作者名="LASKOV P"

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	题名	作者	年代	出处	被引量
1	Language Models for Detection of Unknown Attacks in Network Traffic显示文摘	Rieck K Laskov P	2007	Journal in Computer Virology2007，2，4：	1
2	A Fast Algorithm for Joint Diagnolization with Non-orthogonal Transformation and its Application to Blind Signal Separation显示文摘	Ziehe A Laskov P	2004	J Mach Learn Res2004，5，1：	1
3	Incremental support vec- tor learning: analysis, implementation and applications 显示文摘	LASKOV P GEHL C KRLIGER S etal	2006	Journal of Machine Learning Research2006，7，3：	1
4	A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation 显示文摘	Ziehe A Laskov P Nohel G	2004	The Journal of Machine Learning Research2004，5，：	1
5	Language Models for Detection of Unknown Attacks in Network Traffic显示文摘	RIECK K LASKOV P	2007	Journal in Computer Virology2007，2，4：	1
6	Feasible Direction Decomposition Algorithms for Training Support Vector Machine显示文摘	Laskov P	2002	Machine Learning2002，46，13：	1
7	Curvature-based algorithms for non-rigid motion and correspondence estimation显示文摘	Laskov P Kambhamettu C	2003	IEEE Transactions on Pattern Analysis and Machine Intelligence2003，25，10：	1
8	Language models for detection of unknown attacks in network traffic显示文摘	Rieck K Laskov P	2007	Journal in Computer Virology2007，2，4：	1
9	A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and Its Application to Blind Source Separation显示文摘	ZIEHE A LASKOV P NOLTE G	2004	Journal of Machine Learning Research2004，5，3：	1
10	A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Applieation to Blind Souree Separation显示文摘	Ziehe A Laskov P Nolte G	2004	Journal of Maehine Learning Researeh2004，5，1：	1
11	A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation显示文摘	Ziehe A Laskov P Nolte G etal	2004	J Mach Learn Res2004，，5：	1
12	A fast algorithm for joint diagonalization with non-orthgonal transformations and its application to blind source separation显示文摘	A Ziehe P Laskov G Nolte	2004	Journal of Machine Learning Research2004，5，：	1
13	Feasible direction decomposition algorithms for training support vector machines 显示文摘	Laskov P	2002	Machine Learning2002，46，13：	1
14	Computation of similarity measures for sequential data using generalized suffix trees显示文摘	Rieck K Laskov P Sonnenburg S	2008	The Journal of Machine Learning Research2008，9，：	1
15	Incremental support vector learning: Analysis,implementation and applications显示文摘	Laskov P Gehl C Krüger S Müller K	2006	Journal of Machine Learning Research2006，，7：	1
16	Feasible direction decomposition algorithms for training support vector machines 显示文摘	LASKOV P	2002	Machine Learning2002，46，1：	1
17	Incremen- tal support vector learning: analysis, implementation and applications显示文摘	LASKOV P GEHL C KRUGER S	2006	J of Machine Learning Research2006，7，：	1
18	A fastalgorithm for joint diagonalization with non-orthogonaltransformations and its application to blind source separation显示文摘	Ziehe A Laskov P Nolte G and Müller K R	2004	Journal of Machine Learning Research2004，5，12：	1
19	Feasible direction decomposition algorithms for training support vector machine显示文摘	LASKOV P	2002	Machine Learning2002，46，1：	1
20	A fast algorithm for joint diagonalization with non-orthogonal transformations and its application to blind source separation显示文摘	ZIEHE A LASKOV P NOLTE G MULLER K R	2004	Journal of Machine Leaning Research2004，，5：	1

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