Searching for authors named Tu Bao Ho – sorted by Relevance.
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Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
- Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results * Tu Bao Ho
- Cited by 1 (1 self) – Add To MetaCart
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A hyper-heuristic for descriptive rule induction
- A hyper-heuristic for descriptive rule induction Tho Hoan Pham 1 and Tu Bao Ho 2 1 Hanoi
- Cited by 1 (1 self) – Add To MetaCart
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Nonhierarchical document clustering based on a tolerance rough set model
- Nonhierarchical Document Clustering Based on a Tolerance Rough Set Model Tu Bao Ho, 1* Ngoc Binh
- Cited by 4 (0 self) – Add To MetaCart
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Unsupervised Feature Extraction for Time Series Clustering Using Orthogonal Wavelet Transform. Informatica 30:305–319
- Orthogonal Wavelet Transform Hui Zhang and Tu Bao Ho School of Knowledge Science, Japan Advanced Institute
- Cited by 1 (0 self) – Add To MetaCart
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MRRS: A More Efficient Algorithm for Scheduling Divisible Loads of Grid Applications
- The Loc*, Said Elnaffar**, Takuya Katayama*, Ho Tu Bao* * Japan Advanced Institute of Science
- Cited by 1 (0 self) – Add To MetaCart
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A Novel Graph-Based Similarity Measure for 2D Chemical Structures
- Structures Si Quang Le 1 Tu Bao Ho 1 T.T Hang Phan 2 quang@(email omitted); bao@(email omitted); s0244@(email omitted); 1
- Cited by 2 (0 self) – Add To MetaCart
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Example-based sentence reduction using the hidden markov model
- Shimazu, and Bao Tu Ho Graduate School of Information Science, JAIST Sentence reduction is the problem
- Cited by 4 (0 self) – Add To MetaCart
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Prediction and Analysis of β-Turns in Proteins by Support Vector Machine
- by Support Vector Machine Tho Hoan Pham 1 Kenji Satou 1,2 Tu Bao Ho 1 h-pham@(email omitted); ken@(email omitted); bao
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Estimating Quality of Support Vector Machines Learning Under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity
- Uncertainty: Algorithms and Computational Complexity Canh Hao Nguyen 1 , Tu Bao Ho 1 , and Vladik Kreinovich 2
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Agent-Based Approach to Dynamic Meeting Scheduling Problems
- of Information Science, JAIST, Japan PRESTO, Japan Science and Technology Agency (JST) defago@(email omitted); Tu Bao
- Cited by 2 (0 self) – Add To MetaCart

