Highlights -- Mining data with full-fledged machines   ....................
............................  Xiaotong Shen, Yin Lin and Yuan-Chin I. Chang  303

Editorial -- A statistician thinks about machine learning ....  Grace Wahba  305

Commentary -- Challenges in statistical machine learning ..................
........................................  John Lafferty and Larry Wasserman  307

Observations on bagging    ..............  Andreas Buja and Werner Stuetzle  323

An effective method for high-dimensional log-density ANOVA estimation, 
with application to nonparametric graphical model building ................
.....................................................Yongho Jeon and Yi Lin  353

Blockwise sparse regression..........Yuwon Kim, Jinseog Kim and Yongdai Kim  375

Characterizing the solution path of multicategory support vector machines..
.............................................Yoonkyung Lee and Zhenhuan Cui  391

Regularized optimization in statistical learning: a Bayesian perspective
....................................................Bin Li and Prem K. Goel  411

Convergence rates of compactly supported radial basis function 
regularization.........................................Yi Lin and Ming Yuan  425

Optimizing ψ-learning via mixed integer programming...................
...................................................Yufeng Liu and Yichao Wu  441

Signal probability estimation with penalized likelihood method on weighted 
data....................Fan Lu, Gary C. Hill, Grace Wahba and Paolo Desiati  459

Boosting for high-multivariate responses in high-dimensional linear 
regression...........................Roman Werner Lutz and Peter Bühlmann    471

Location estimation in wireless networks: a Bayesian approach..............
.David Madigan, Wen-Hua Ju, P. Krishnan, A. S. Krishnakumar and Ivan Zorych  495

Using input dependent weights for model combination and model selection 
with multiple sources of data......We Pan, Guanghua Xiao and Xiaohong Huang  523   

Binning in Gaussian kernel regularization................Tao Shi and Bin Yu  541

Estimation of generalization error: random and fixed inputs ...............
..............................................Junhui Wang and Xiaotong Shen  569

The doubly regularized support vector machine..............................
................................................Li Wang, Ji Zhu and Hui Zou  589

Multi-category support vector machines, feature selection and solution path.
..............................................Lifeng Wang and Xiaotong Shen  617

Comparing learning methods for classification...................Yuhong Yang  635

Variable selection for support vector machines via smoothing spline ANOVA..
............................................................Hao Helen Zhang  659



2006 Statistica Sinica ISSN 1017-0405