维普期刊资源整合服务平台（V6.5）

65篇 您的检索式：作者名="C L Talbot"

选中清除导出查看参考文献查看引证文献引用追踪共4页首页上一页第1页下一页末页 /4 跳转

	题名	作者	年代	出处	被引量
1	Epithelial-mesenchymal transition,the tumor microenvironment,and metastatic behavior of epithelial malignancies显示文摘	Talbot L J Bhattacharya S D Kuo P C		0，，02：	1
2	Fast exact leave-one-out Cross- Validation of sparse least-squares support vector machines显示文摘	CAWLEY G C TALBOT N L	2004	Neural Networks2004，17，：	1
3	Fast exact leave-one-out cross-validation of sparse least-squares support vector machines显示文摘	G C Cawley N L C Talbot	2004	Neural Networks2004，17，10：	1
4	Linewidth reduction in a large-smile laser diode array 显示文摘	C L Talbot M E J Friese D Wang	2005	Applied Optics2005，44，29：	1
5	Preventing over - fitting during model selection via Bayesian regularisation of the hyper-parameters 显示文摘	CAWLEY G C TALBOT N L C	2007	Journal of Machine Learning Research2007，8，：	1
6	Preventing over-fitting during model selection via Bayesian regnlarisation of the hyper-parameters显示文摘	CAWLEY G C and TALBOT N L C	2007	Journal of Machine Learning Research2007，8，4：	1
7	The evidence framework applied to sparse kernel logistic regression显示文摘	Cawley G C Talbot N L C	2005	Neurocomputing2005，64，：	1
8	Improved sparse least-squares support vector machines显示文摘	Gavin C Cawley Nicola L C Talbot	2002	Neurocomputing2002，48，：	1
9	Improved sparse least-squares support vector machines显示文摘	Gavin C Cawley Nicola L C Talbot	2002	Neurocomputing2002，，48：	1
10	Linewidth reduction in a large smile laser diode array显示文摘	Talbot C L Friese M E J Wang D	2005	Appl Opt2005，44，29：	1
11	Improved sparse least square support vector machines 显示文摘	Cawley C C Talbot N L C	2002	Nerocomputing2002，，48：	1
12	Gene selection in cancer classification using sparse logistic regression with Bayesian regularization显示文摘	Cawley G C Talbot N L C	2006	Bioin-formatics2006，22，19：	1
13	Preventing over-fitting during model selection via Bayesian regularization of the hyper-parameters显示文摘	Cawley G C Talbot N L C	2007	Journal of Machine Learning Research2007，8，4：	1
14	Epithelial-mesenchymal transition,the tumor microenvironment,and metastatic behavior of epithelial malignancies显示文摘	TALBOT L J BHATTACHARYA S D KUO P C	2012	Int J Biochem Mol Biol2012，3，2：	1
15	Dynamical behavior of a premixed turbulent open V-flame显示文摘	Rhee C W Talbot L Sethian J A	1995	Journal of Fluid Mechanics1995，300，：	1
16	Preventing over-fitting in model selection via Bayesian regularisation ofthe hyper-parameters显示文摘	CAWLEY G C TALBOT N L C	2007	Journal of Machine Learn-ing Research2007，8，：	1
17	Gene selection in cancer classification using sparse logistic regression with Bayesian regularization显示文摘	CAWLEY G C TALBOT N L C	2006	Bioinformatics2006，22，19：	1
18	Improved sparse least-squares support vector machines 显示文摘	CAWLEY G C TALBOT N L C	2002	Neurocomputing2002，48，：	1
19	Gene selection in cancer classification using sparse logistic regression with Bayesian regulatization 显示文摘	Cawley Gavin C Talbot N L C	2006	Bioinformaties2006，22，19：	1
20	Comment on Layer averaged Richards' equation with lateral fl ow by Praveen Kumar 显示文摘	Talbot C A Ogden F L Or D	2004	Advances in Water Resources2004，27，5：	1

返回顶部每页显示：

共4页首页上一页第1页下一页末页 /4 跳转

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

用户提示