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School and Workshop on Classification and Regression Trees
(10 - 26 March 2014)

Organizing Committee · Visitors and Participants · Overview · Activities · Venue · Enquiries

 

 Organizing Committee

 

 

 Visitors and Participants

 

 

 Overview

 

Classification and regression trees are an integral part of the toolbox of data mining, machine learning, and statistics. The year 2013 marks the fiftieth anniversary of the publication of the first journal article on the subject. New techniques have added capabilities that far surpass the early methods. Modern classification trees can partition the data with linear splits on subsets of variables and fit nearest-neighbor, kernel-density, and other models in the partitions. Regression trees can fit almost every kind of traditional statistical model, including least-squares, quantile, logistic, Poisson and proportional hazards models, as well as models for censored, longitudinal and multi-response data. Availability of free software has played a significant role in helping the techniques gain acceptance and popularity in the broader scientific community. The purpose of the workshop is to bring together current experts in the field to discuss recent developments and generate ideas for future research. The purpose of the school is to introduce the subject to other researchers and practitioners who are interested to learn the techniques.



 Activities


 

Students and researchers who are interested in attending these activities are requested to complete the online registration form.

The following do not need to register:

  • Those invited to participate.
  • Those applying for financial support.

 

 Venue

 

 

 Enquiries

 

For general enquiries, please email us at ims(AT)nus.edu.sg.

For enquiries on scientific aspects of the program, please email Wei-Yin Loh at loh(AT)stat.wisc.edu.

 

Organizing Committee · Visitors and Participants · Overview · Activities · Venue · Enquiries

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