1. A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan,IBM T.J.Watson Joe McCloskey,US Department of Defense Philip…

Slide 1Effective Estimation of Posterior Probabilities: - Explaining the Accuracy of Randomized Decision Tree Approaches Wei Fan Ed Greengrass Joe McCloskey Philip S. Yu…

Slide 1A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, IBM T.J.Watson Joe McCloskey, US Department of Defense…

Slide 1Systematic Data Selection to Mine Concept Drifting Data Streams Wei Fan IBM T.J.Watson Slide 2 About … … Data streams: continuous stream of new data, generated…

Slide 1On the Optimality of Probability Estimation by Random Decision Trees Wei Fan IBM T.J.Watson Slide 2 Some important facts about inductive learning Given a set of labeled…

Slide 1Experience with Simple Approaches Wei Fan Erheng Zhong Sihong Xie Yuzhao Huang Kun Zhang $ Jing Peng # Jiangtao Ren IBM T. J. Watson Research Center Sun Yat-sen University…

Slide 1Multi-label Classification without Multi-label Cost - Multi-label Random Decision Tree Classifier 1.IBM Research – China 2.IBM T.J.Watson Research Center Presenter:…

A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, IBM T.J.Watson Joe McCloskey, US Department of Defense Philip…

A General Framework for Fast and Accurate Regression by Data Summarization in Random Decision Trees Wei Fan, IBM T.J.Watson Joe McCloskey, US Department of Defense Philip…