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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9798

Title: 科学データのための先進的計算手法
Other Titles: Advanced computation methods for analyzing scientific data
Authors: ホー, ツーバオ
Authors(alternative): Ho, Tu Bao
Keywords: データマイニング
Issue Date: 10-Jun-2011
Abstract: 本プロジェクトでは、科学データの構造に付随する複雑性がもたらす計算上の困難な問題に対処するための技術的な基盤を確立し、効率的で効果的な機械学習/データマイニング手法、特に(1)カーネル手法、(2) 構造化予測のための準教師付学習手法の開発に取組み、開発した手法を医学、バイオインフォマティクス、材料化学の各分野に適用する中で、これらの手法の有効性や、各分野の科学的発見に貢献する可能性を示した。 : The project objective is twofold. First to establish basic technologies and to develop efficient and effective machine learning/data mining methods for hard problems caused by complexly structured data, in particularly methods in the two directions: (1) kernel methods; (2) semi-supervised learning for structured prediction. Second is to apply the developed methods for new discovery in medical bioinformatics and materials science. As the result of the project, different methods have been developed and applied to solve problems in biomedicine and materials science.
Description: 研究種目:基盤研究(B)
研究期間: 2007~2009
Language: jpn
URI: http://hdl.handle.net/10119/9798
Appears in Collections:2010年度 (FY 2010)

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