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

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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