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Walker H Land

Showing results (1-10 of 9) with videos related to

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International Journal of Computational Biology and Drug Design|January 9, 2010
Multiclass primal support vector machines for breast density classificationWalker H Land, Elizabeth A Verheggen
BMC Bioinformatics|January 29, 2011
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regressionJohn J Heine, Walker H Land, Kathleen M Egan
International Journal of Computational Biology and Drug Design|August 10, 2010
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learningWalker H Land, Dan Margolis, Ronald Gottlieb, et al.
BMC Genomics|December 15, 2010
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theoryWalker H Land, Dan Margolis, Ronald Gottlieb, et al.
International Journal of Computational Biology and Drug Design|December 27, 2011
Perturbation and candidate analysis to combat overfitting of gene expression microarray dataRavi Mathur, J David Schaffer, Walker H Land, et al.
International Journal of Functional Informatics and Personalised Medicine|October 3, 2015
New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical dataWalker H Land, John J Heine, Tom Raway, et al.
Journal of Chemical Information and Computer Sciences|March 23, 2004
Detection and classification of organophosphate nerve agent simulants using support vector machines with multiarray sensorsOmowunmi Sadik, Walker H Land, Adam K Wanekaya, et al.
Biomedical Engineering Online|November 10, 2011
Statistical learning methods as a preprocessing step for survival analysis: evaluation of concept using lung cancer dataMadhusmita Behera, Erin E Fowler, Taofeek K Owonikoko, et al.
BMC Systems Biology|July 13, 2012
Kernelized partial least squares for feature reduction and classification of gene microarray dataWalker H Land, Xingye Qiao, Daniel E Margolis, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
International Journal of Computational Biology and Drug Design|January 9, 2010
Multiclass primal support vector machines for breast density classificationWalker H Land, Elizabeth A Verheggen
BMC Bioinformatics|January 29, 2011
Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regressionJohn J Heine, Walker H Land, Kathleen M Egan
International Journal of Computational Biology and Drug Design|August 10, 2010
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learningWalker H Land, Dan Margolis, Ronald Gottlieb, et al.
BMC Genomics|December 15, 2010
Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theoryWalker H Land, Dan Margolis, Ronald Gottlieb, et al.
International Journal of Computational Biology and Drug Design|December 27, 2011
Perturbation and candidate analysis to combat overfitting of gene expression microarray dataRavi Mathur, J David Schaffer, Walker H Land, et al.
International Journal of Functional Informatics and Personalised Medicine|October 3, 2015
New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical dataWalker H Land, John J Heine, Tom Raway, et al.
Journal of Chemical Information and Computer Sciences|March 23, 2004
Detection and classification of organophosphate nerve agent simulants using support vector machines with multiarray sensorsOmowunmi Sadik, Walker H Land, Adam K Wanekaya, et al.
Biomedical Engineering Online|November 10, 2011
Statistical learning methods as a preprocessing step for survival analysis: evaluation of concept using lung cancer dataMadhusmita Behera, Erin E Fowler, Taofeek K Owonikoko, et al.
BMC Systems Biology|July 13, 2012
Kernelized partial least squares for feature reduction and classification of gene microarray dataWalker H Land, Xingye Qiao, Daniel E Margolis, et al.
Pageof 1