LUMEN 发表于 2025-3-30 10:45:58

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扩张 发表于 2025-3-30 16:25:37

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extrovert 发表于 2025-3-30 18:34:55

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幼儿 发表于 2025-3-30 22:06:27

VOGUE: A Novel Variable Order-Gap State Machine for Modeling Sequencesm the PROSITE protein families. We show that VOGUE yields significantly better scores than higher-order Hidden Markov Models. Moreover, we show that VOGUE’s classification sensitivity outperforms that of HMMER, a state-of-the-art method for protein classification.

trigger 发表于 2025-3-31 04:51:27

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虚弱 发表于 2025-3-31 05:19:54

,-Anonymous Decision Tree Inductionn .-anonymity of the learning examples. Experiments show that embedding anonymization within the decision tree induction process provides better accuracy than anonymizing the data first and inducing the tree later.

BOAST 发表于 2025-3-31 11:54:39

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pus840 发表于 2025-3-31 15:46:49

0302-9743 eiburg, Germany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowled

打击 发表于 2025-3-31 17:30:23

Conference proceedings 2006rmany,2001. The European Conference on Machine Learning wasestablished 20 years ago, when the ?rst European Working Session on Learning was held in Orsay, France, in 1986. The conference is growing, and is more lively than ever. The European Conference on Principles and Practice of Knowledge Discove

无价值 发表于 2025-4-1 00:53:46

On Temporal Evolution in Data Streamsing algorithms such as clustering and classification. In many cases, mining algorithms may not function as effectively because of the change in the underlying data. We discuss the effects of evolution on mining and synopsis construction algorithms and a number of opportunities which may be available for further research on the topic.
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查看完整版本: Titlebook: Knowledge Discovery in Databases: PKDD 2006; 10th European Confer Johannes Fürnkranz,Tobias Scheffer,Myra Spiliopoul Conference proceedings