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Prediction and Discovery
About this Title
Joseph Stephen Verducci, Xiaotong Shen and John Lafferty, Editors
Publication: Contemporary Mathematics
Publication Year:
2007; Volume 443
ISBNs: 978-0-8218-4195-2 (print); 978-0-8218-8122-4 (online)
DOI: https://doi.org/10.1090/conm/443
MathSciNet review: 2446194
ReadershipTable of Contents
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Front/Back Matter
Articles
- Joe Verducci and Xiaotong Shen – Introduction
- Junhui Wang, Xiaotong Shen and Wei Pan – On transductive support vector machines [MR 2433281]
- Xinwei Deng, Ming Yuan and Agus Sudjianto – A note on robust kernel principal component analysis [MR 2433282]
- Yufeng Liu, Hao Helen Zhang, Cheolwoo Park and Jeongyoun Ahn – The $L_q$ support vector machine [MR 2433283]
- Yichao Wu and Yufeng Liu – On multicategory truncated-hinge-loss support vector machines [MR 2433284]
- Art B. Owen – A robust hybrid of lasso and ridge regression [MR 2433285]
- Yongdai Kim, Yuwon Kim and Jinseog Kim – A gradient descent algorithm for LASSO [MR 2433286]
- Bin Li and Prem K. Goel – Additive regression trees and smoothing splines—predictive modeling and interpretation in data mining [MR 2433287]
- Ernest Parfait Fokoué – Estimation of atom prevalence for optimal prediction [MR 2433288]
- Cynthia Rudin, Robert E. Schapire and Ingrid Daubechies – Precise statements of convergence for AdaBoost and arc-gv [MR 2433289]
- Keith Marsolo, Srinivasan Parthasarathy, Michael Twa and Mark Bullimore – Ensemble-learning by model-based spatial averaging [MR 2433290]
- Hui Zou, Ji Zhu, Saharon Rosset and Trevor Hastie – Automatic bias correction methods in semi-supervised learning [MR 2433291]
- Sijian Wang and Ji Zhu – Variable selection for model-based high-dimensional clustering [MR 2433292]
- Wei Pan and Xiaotong Shen – Semi-supervised learning via constraints [MR 2433293]
- Michael Steinbach, Pang-Ning Tan, Hui Xiong and Vipin Kumar – Objective measures for association pattern analysis [MR 2433294]