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» An ICA algorithm for analyzing multiple data sets
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TNN
2010
159views Management» more  TNN 2010»
13 years 3 months ago
Multiple incremental decremental learning of support vector machines
We propose a multiple incremental decremental algorithm of Support Vector Machine (SVM). Conventional single incremental decremental SVM can update the trained model efficiently w...
Masayuki Karasuyama, Ichiro Takeuchi
ICASSP
2010
IEEE
13 years 9 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
EVOW
2005
Springer
14 years 2 months ago
Order Preserving Clustering over Multiple Time Course Experiments
Abstract. Clustering still represents the most commonly used technique to analyze gene expression data—be it classical clustering approaches that aim at finding biologically rel...
Stefan Bleuler, Eckart Zitzler
ICPP
1999
IEEE
14 years 1 months ago
Multi-Capacity Bin Packing Algorithms with Applications to Job Scheduling under Multiple Constraints
In past massively parallel processing systems, such as the TMC CM-5 and the CRI T3E, the scheduling problem consisted of allocating a single type of resource among the waiting job...
William Leinberger, George Karypis, Vipin Kumar
TEC
2008
104views more  TEC 2008»
13 years 9 months ago
Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy
Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction data i...
Tzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-...