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Titlebook: New Frontiers in Applied Data Mining; PAKDD 2009 Internati Thanaruk Theeramunkong,Cholwich Nattee,Graham Will Conference proceedings 2010 S

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發(fā)表于 2025-3-21 17:03:18 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱New Frontiers in Applied Data Mining
副標(biāo)題PAKDD 2009 Internati
編輯Thanaruk Theeramunkong,Cholwich Nattee,Graham Will
視頻videohttp://file.papertrans.cn/666/665233/665233.mp4
概述Up-to-date results.Fast track conference proceedings.State-of-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: New Frontiers in Applied Data Mining; PAKDD 2009 Internati Thanaruk Theeramunkong,Cholwich Nattee,Graham Will Conference proceedings 2010 S
出版日期Conference proceedings 2010
關(guān)鍵詞HCI; algorithms; biomedical data analysis; classification; data analysis; data mining; kernel
版次1
doihttps://doi.org/10.1007/978-3-642-14640-4
isbn_softcover978-3-642-14639-8
isbn_ebook978-3-642-14640-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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Feature Selection for Brain-Computer Interfaces,proved accuracy when used with suitable classification algorithms. The top three feature selectors in terms of classification accuracy were correlation-based feature selection, information gain and 1R ranking, with correlation based feature selection choosing the smallest number of features.
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Missing Phrase Recovering by Combining Forward and Backward Phrase Translation Tables, applied to both tables. We assessed our method on different combining weights by counting the missing phrases and calculating the BLEU scores and NIST scores. Approximately 7% of missing phrases are recovered and 1.3% of BLEU score is increased.
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Adaptive Methods for Classification in Arbitrarily Imbalanced and Drifting Data Streams,w distance measure for detecting distributional drift and examine its utility in weighting ensemble base classifiers. We employ a sequential validation framework, which we believe is the most meaningful option in the context of streaming imbalanced data.
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