Prediction and discovery : [electronic resource] AMS-IMS-SIAM Joint Summer Research Conference, Machine and Statistical Learning : Prediction and Discovery, June 25-29, 2006, Snowbird, Utah / Joseph Stephen Verducci, Xiaotong Shen, John Lafferty, editors.

By:

AMS-IMS-SIAM Joint Summer Research Conference Machine and Statistical Learning : Prediction and Discovery (2006 : Snowbird, Utah)

Contributor(s):

Material type: Text

TextSeries: Contemporary mathematics (American Mathematical Society) ; v. 443.Publication details: Providence, R.I. : American Mathematical Society, c2007.Description: 1 online resource (vi, 226 p. : ill.)ISBN:

9780821881224 (online)

Subject(s):

Machine theory -- Congresses

Additional physical formats: Prediction and discovery :DDC classification:

006.3/1 22

LOC classification:

QA267 .P7 2007

Online resources:

Contents:

Introduction / Joe Verducci and Xiaotong Shen -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/8550 On transductive support vector machines / Junhui Wang, Xiaotong Shen and Wei Pan -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08551 A note on robust kernel principal component analysis / Xinwei Deng, Ming Yuan and Agus Sudjianto -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08552 The $L_q$ support vector machine / Yufeng Liu, Hao Helen Zhang, Cheolwoo Park and Jeongyoun Ahn -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08553 On multicategory truncated-hinge-loss support vector machines / Yichao Wu and Yufeng Liu -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08554 A robust hybrid of lasso and ridge regression / Art B. Owen -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08555 A gradient descent algorithm for LASSO / Yongdai Kim, Yuwon Kim and Jinseog Kim -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08556 Additive regression trees and smoothing splines -- predictive modeling and interpretation in data mining / Bin Li and Prem K. Goel -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08557 Estimation of atom prevalence for optimal prediction / Ernest Parfait Fokou�e -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08558 Precise statements of convergence for AdaBoost and arc-gv / Cynthia Rudin, Robert E. Schapire and Ingrid Daubechies -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08559 Ensemble-learning by model-based spatial averaging / Keith Marsolo, Srinivasan Parthasarathy, Michael Twa and Mark Bullimore -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08560 Automatic bias correction methods in semi-supervised learning / Hui Zou, Ji Zhu, Saharon Rosset and Trevor Hastie -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08561 Variable selection for model-based high-dimensional clustering / Sijian Wang and Ji Zhu -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08562 Semi-supervised learning via constraints / Wei Pan and Xiaotong Shen -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08563 Objective measures for association pattern analysis / Michael Steinbach, Pang-Ning Tan, Hui Xiong and Vipin Kumar -- http://www.ams.org/conm/443/ http://dx.doi.org/10.1090/conm/443/08564

Item type:

E-BOOKS

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Holdings
Home library	Call number	Materials specified	URL	Status	Date due	Barcode
IMSc Library			Link to resource	Available		EBK11725

Includes bibliographical references.

Introduction / Joe Verducci and Xiaotong Shen -- On transductive support vector machines / Junhui Wang, Xiaotong Shen and Wei Pan -- A note on robust kernel principal component analysis / Xinwei Deng, Ming Yuan and Agus Sudjianto -- The $L_q$ support vector machine / Yufeng Liu, Hao Helen Zhang, Cheolwoo Park and Jeongyoun Ahn -- On multicategory truncated-hinge-loss support vector machines / Yichao Wu and Yufeng Liu -- A robust hybrid of lasso and ridge regression / Art B. Owen -- A gradient descent algorithm for LASSO / Yongdai Kim, Yuwon Kim and Jinseog Kim -- Additive regression trees and smoothing splines -- predictive modeling and interpretation in data mining / Bin Li and Prem K. Goel -- Estimation of atom prevalence for optimal prediction / Ernest Parfait Fokou�e -- Precise statements of convergence for AdaBoost and arc-gv / Cynthia Rudin, Robert E. Schapire and Ingrid Daubechies -- Ensemble-learning by model-based spatial averaging / Keith Marsolo, Srinivasan Parthasarathy, Michael Twa and Mark Bullimore -- Automatic bias correction methods in semi-supervised learning / Hui Zou, Ji Zhu, Saharon Rosset and Trevor Hastie -- Variable selection for model-based high-dimensional clustering / Sijian Wang and Ji Zhu -- Semi-supervised learning via constraints / Wei Pan and Xiaotong Shen -- Objective measures for association pattern analysis / Michael Steinbach, Pang-Ning Tan, Hui Xiong and Vipin Kumar --