 |
 |
Dear all, Statistica Sinica has just released a theme issue on Machine Learning and Data Mining. Attached below is the table of contents for those who might find the topic of interest. Everyone has free access to the on-line articles listed under Editor's Melange at http://www3.stat.sinica.edu.tw/statistica/ (click on Current Issue). Please contact Karen Li at [log in to unmask] if you are interested in receiving email notifications when future issues are released. With all the best, Michelle Liou Co-Editor, Statistica Sinica --------------------------------------------------------------------------------------------------------- Table of Contents (Vol.16, No. 2 ): Editor's Melange Highlights -- Mining data with full-fledged machines by Xiaotong Shen, Yin Lin and Yuan-Chin I. Chang Editorial -- A statistician thinks about machine learning by Grace Wahba Commentary -- Challenges in statistical machine learning by John Lafferty and Larry Wasserman Machine Learning and Data Mining Observations on bagging by Andreas Buja and Werner Stuetzle An effective method for high dimensional log-density ANOVA estimation, with application to nonparametric graphical model building by Yongho Jeon and Yi Lin Blockwise sparse regression by Yuwon Kim, Jinseog Kim and Yongdai Kim Characterizing the solution path of multicategory support vector machines by Yoonkyung Lee and Zhenhuan Cui Regularized optimization in statistical learning: a Bayesian perspective by Bin Li and Prem K. Goel Convergence rates of compactly supported radial basis function regularization by Yi Lin and Ming Yuan Optimizing psi-learning via mixed integer programming by Yufeng Liu and Yichao Wu Signal probability estimation with penalized likelihood method on weighted data by Fan Lu, Gary C. Hill, Grace Wahba and Paolo Desiati Boosting for high-multivariate responses in high-dimensional linear regression by Roman Werner Lutz and Peter Buehlmann Location estimation in wireless networks: a Bayeisan approach by David Madiga, Wen-Hua Ju, P. Krishnan, A. S. Krishnakumar and Ivan Zorych Using input dependent weights for model combination and model selection with multiple sources of data by We Pan, Guanghua Xiao and Xiaohong Huang Binning in Gaussian kernel regularization by Tao Shi and Bin Yu Estimation of generalization error: random and fixed inputs by Junhui Wang and Xiaotong Shen The doubly regularized support vector machine by Li Wang, Ji Zhu and Hui Zou Multi-category support vector machine, feature selection and solution path by Lifeng Wang and Xiaotong Shen Comparing learning methods for classification by Yuhong Yang Variable selection for support vector machines via smoothing spine ANOVA by Hao Helen Zhang