ゲノム情報科学研究教育機構  アブストラクト
Date October 13, 2006
Speaker Prof. Alex J. Smola, National ICT Australia
Title Maximum Mean Discrepancy for Distribution Testing
Abstract   Hilbert space methods are a promising tool for the analysis of distribution testing. In particular, they can be used to assess whether two sets of observations arise from the same distribution. These tests can be used in the context of data integration for microarrays, attribute matching, and the correction of sample bias when test and training sets differ. I will be presenting examples of their applications and corresponding experimental results.
「セミナー」に戻る      
 ホーム