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Artificial Intelligence for Investigating Anti-cancer solutions 

We are on a mission to investigate and provide the most advanced Machine Learning and Web Intelligence technologies to find treatments or diagnostic tools to fight diseases like cancers. We are small, we are not in Redmond or Silicon Valley, but we are not intimidated. 

 
Call for paper: ICML-UAI-COLT 2009 Workshop on Automated Interpretation and Modeling of Cell Images

In conjunction with 2009 ICML-UAI-COLT , June 18, 2009, Montreal, Canada

The focus of this workshop will be on emerging challenges and research issues that arise when realizing fully-automated intelligent analysis of cell images due to recent advances in cell imaging capabilities to discover new biological knowledge about cell structure and function.

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Online Learning: Periodic Step Size Adaptation (PSA) (2007-)

We propsed the Periodic Step size Adaptation (PSA) to train conditional random fields model (CRF) in ICDM 2007. PSA code for CRF is developed by modifying CRF++. PSA ver0.13 demonstrates how to implement PSA. For more details please download PSA ver0.13 and find "README_PSA.txt". Currently we are applying PSA to other models, for example, SVM. [download the paper] [download PSA ver0.13]

 
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