北陸先端科学技術大学院大学 [JAIST] - 研究者総覧
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Ho Bao Tu (ホー バオ ツー) 教授
知識科学研究科(知識科学専攻・知識メディア領域)

198件中101-120件目

  • 101. Speeding-up Model Selection for Support Vector Machines,Nguyen, D.D., Ho, T.B.,18th International Conference of Florida Artificial Intelligence Research Society FLAIRS,2005.
  • 102. Finding The Clustering Consensus of Time Series with Multi-scale Transform,Zhang, H., Ho, T.B.,Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST'05),1081-1090,2005.
  • 103. Co-Training of Conditional Random Fields for Segmenting Sequence Data,Phan, X.H., Nguyen, L.M., Ho, T.B., Inoguchi, Y., Horiguchi, S.,First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases,218-224,2005.
  • 104. Sentence extraction with support vector machine ensemble,Nguyen, L.M., Shimazu, A., Ho, T.B., Phan, X.H., Horiguchi, S.,First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases,239-243,2005
  • 105. An Imbalanced Data Rule Learner,Nguyen, C.H., Ho, T.B.,9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD),Springer LNAI 3721, 617-624,2005.
  • 106. Using Inductive Logic Programming for Predicting Protein-Protein Interactions from Multiple Genomic Data,Tran, T.N., Satou, K., Ho, T.B.,9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD),Springer LNAI 3721, 321-330,2005.
  • 107. Classification with Maximum Entropy Modeling of Predictive Association Rules,Phan, X.H., Nguyen, L.M., Horiguchi, S., Ho, T.B., Inoguchi, Y.,16th European Conference on Machine Learning,Springer LNAI 3720, 682-689,2005.
  • 108. Rule Evaluation Heuristics for Knowledge Discovery,Pham, T.H., Ho, T.B., Clemente, J., Satou, K.,Workshop on Knowledge Discovery and Data Management in Biomedical Science (KDDMBS), 9th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-05),2005.
  • 109. Passage Associations Extraction from Document Collections,Nagai, K., Ho, T.B.,Conference of Pacific Association for Computational Linguistics PACLING'05,258-263,2005.
  • 110. Improving Discriminative Sequential Learning with Rare-but-Important Associations,Phan, X.H., Nguyen, L.M., Ho, T.B., Horiguchi, S.,ACM International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD-05,304-313,2005.
  • 111. An Efficient Method for Simplifying Support Vector Machines,Nguyen, D.D., Ho, T.B.,22th International Conference on Machine Learning, ICML 2005,617-624,2005.
  • 112. Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform,Zhang, H., Ho, T.B., Huang, W.,Second International Symposium on Neural Networks,Springer LNCS3497,605-610,2005.
  • 113. Extracting background knowledge from medical literature,Kawasaki, S., Ho, T.B.,First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases,279-287,2005.
  • 114. Wrapper feature extraction for time series classification using singular value decomposition,Zhang, H., Ho, T.B., Kawasaki, S.,First World Congress of the International Federation for Systems Research (IFSR'05), Symposium on Data/Text Mining from Large Databases,288-295,2005.
  • 115. Combining the Global and Partial Information for Distance-Based Time Series Classification and Clustering,Zhang, H., Ho, T.B., Lin, M.S., Huang, W.,Journal of Advanced Computational Intelligence & Intelligent Informatics, Fuji Technology Press Ltd.,Vol. 10,No. 1,69-76,2005.
  • 116. Qualitatively Predicting Acetylation and Methylation Areas in DNA Sequences,Pham, T.H., Tran, D.H., Ho, T.B., Satou, K., Valiente, G,Genome Informatics 2005, Yokohama, Universal Academic Press,Vol. 5,No. 2,3-11,2005.
  • 117. Performing more than AC for Hard Distributed Constraint Satisfaction Problems,Ben Hassine, A., Ho, T.B.,Workshop Rational, Robust, and Secure Negotiations in Multi-Agent Systems, The Fourth International Joint Conference on Autonomous Agents and Multi Agent Systems AAMAS'06, Utrecht, 25-29 July, IEEE Computer Society,83-94,2005.
  • 118. Computational Discovery of Transcriptional Regulatory Rules,Pham, T.H., Clemente, J., Satou, K., Ho, T.B.,Bioinformatics, Oxford University Press,Vol. 21,Supp. 2,101-107,2005.
  • 119. Meetings Scheduling Solver Enhancement with Local Consistency Reinforcement,Ben Hassine, Ho, T.B., A., Ito, T.,Applied Intelligence, Springer,Vol. 24,No. 2,143-154,2005.
  • 120. An Association-based Dissimilarity Measure for Categorical Data,Le, S.Q., Ho, T.B.,Pattern Recognition Letters,26(16),2549-2557,2005.

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