Includes bibliographical references.

Introduction ; On transductive support vector machines ; A note on robust kernel principal component analysis ; The _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 Joe 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