000			02184nmm a2200193Ia 4500
008			230306s9999||||xx |||||||||||||||||und||
020			_a9780821881224 (online)
245		0	_aPrediction and discovery : _bAMSIMSSIAM Joint Summer Research Conference, Machine and Statistical Learning : Prediction and Discovery, June 2529, 2006, Snowbird, Utah
260			_aProvidence, R.I. : _bAmerican Mathematical Society, _cc2007
300			_a1 online resource (vi, 226 p. : ill.)
490			_aContemporary mathematics _vv. 443 _x10983627
504			_aIncludes bibliographical references.
505			_tIntroduction ; On transductive support vector machines ; A note on robust kernel principal component analysis ; The _L_q _ support vector machine ; On multicategory truncatedhingeloss support vector machines ; A robust hybrid of lasso and ridge regression ; A gradient descent algorithm for LASSO ; Additive regression trees and smoothing splines predictive modeling and interpretation in data mining ; Estimation of atom prevalence for optimal prediction ; Precise statements of convergence for AdaBoost and arcgv ; Ensemblelearning by modelbased spatial averaging ; Automatic bias correction methods in semisupervised learning ; Variable selection for modelbased highdimensional clustering ; Semisupervised learning via constraints ; Objective measures for association pattern analysis _rJoe Verducci and Xiaotong Shen ; Junhui Wang Xiaotong Shen and Wei Pan ; Xinwei Deng Ming Yuan and Agus Sudjianto ; Yufeng Liu Hao Helen Zhang Cheolwoo Park and Jeongyoun Ahn ; Yichao Wu and Yufeng Liu ; Art B Owen ; Yongdai Kim Yuwon Kim and Jinseog Kim ; Bin Li and Prem K Goel ; Ernest Parfait Fokoue ; Cynthia Rudin Robert E Schapire and Ingrid Daubechies ; Keith Marsolo Srinivasan Parthasarathy Michael Twa and Mark Bullimore ; Hui Zou Ji Zhu Saharon Rosset and Trevor Hastie ; Sijian Wang and Ji Zhu ; Wei Pan and Xiaotong Shen ; Michael Steinbach PangNing Tan Hui Xiong and Vipin Kumar
650			_aMachine theory
700			_aLafferty John
700			_aShen Xiaotong
700			_aVerducci Joseph S
856			_uhttp://www.ams.org/conm/443/
999			_c28860 _d28860