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24篇 您的检索式：作者名="Husmeier"

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	题名	作者	年代	出处	被引量
1	Neural networks for predicting conditional probability densities: improved training scheme combining EM and RVFL显示文摘	HUSMEIER D TAYLOR J G	1998	Neural Networks1998，11，1：	1
2	Bayesian Approaches to Gaussian Mixture Modeling显示文摘	ROBERTS S J HUSMEIER D REZEK I PENNY W	1998	IEEE Transactions on Pattern Analysis and Machine Intelligence1998，20，11：	1
3	Non-homogeneous dynamic Bayesian networks for continuous data 显示文摘	Grzegorczyk M Husmeier D	2011	Machine Learning2011，83，3：	1
4	Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure 显示文摘	Dondelinger F Lubre S Husmeier D	2013	Machine Learning2013，90，2：	1
5	Regularization of non-homo- geneous dynamic Bayesian networks with global informa- tion-coupling based on hierarchical Bayesian models显示文摘	Grzegorczyk M Husmeier D	2013	Machine Learning2013，91，1：	1
6	Reverse engineering of genetic networks with Bayesian networks 显示文摘	Husmeier D	2003	Biochem Soc Trans2003，31，6：	1
7	Modelling nonstationary gene regulatory processes with a non-homogeneous Bayesian network and the allocation sampler显示文摘	Grzegomzy M Husmeier D Edwards K D		0，，18：	1
8	Modelling non-stationary dynamic gene regulatory processes with the BGM model显示文摘	Grzegorczyk M Dirk Husmeier D Rahnenführer J		0，，02：	1
9	Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series显示文摘	Frank Dondelinger Dirk Husmeier Sophie Lèbre	2012	Euphytica2012，，3：	1
10	Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge显示文摘	Werhli A V Husmeier D		0，，01：	1
11	Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge显示文摘	Wethli A V Husmeier D		0，，01：	1
12	Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks显示文摘	Husmeier D		0，，17：	1
13	Modelling non-stationary dynamic gene regulatory processes with the BGM model显示文摘	Grzegorczyk M Husmeier D		0，，：	1
14	Comparative evaluation of reverse engineering gene regulatory networks with relevance networks,graphical gaussian models and bayesian networks显示文摘	Werhli A V Grzegorczyk M Husmeier D		0，，20：	1
15	Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks显示文摘	Husmeier D Dondelinger F Lébre S		0，，：	1
16	Predicting conditional probability densities of stationary stochastic time series显示文摘	Husmeier D Taylor J G	1997	Neural Networks1997，10，3：	1
17	Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic Bayesian networks显示文摘	Husmeier D	2003	Bioinformatics2003，19，：	1
18	Reinforcement Learning in a Rule-based Navigator for Robotic Manipulators显示文摘	Althoefer K Krekelberg B Husmeier D Seneviratne L	2011	Neurocomputing2011，37，14：	1
19	Comparative evaluation of reverse engineering gene regulatory networks with relevance networks,graphical gaussian models and Bayesian networks显示文摘	WERHLI A V GRZEGORCZYK M HUSMEIER D	2006	Bioinformatics2006，22，20：	1
20	Sensitivity and specificity of inferring genetic regulatory interactions from microarray experiments with dynamic bayesian networks显示文摘	Husmeier D	2003	Bioinformatics2003，19，：	1

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