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Note: Links lead to the DBLP on the Web. Tzung-Pei Hong 25 Tzung-Pei Hong, Kuei-Ying Lin , Been-Chian Chien : Mining Fuzzy Multiple-Level Association Rules from Quantitative Data. Applied Intelligence 18 (1): 79-90 (2003) 24 Ching-Hung Wang , Chang-Jiun Tsai , Tzung-Pei Hong, Shian-Shyong Tseng : Fuzzy Inductive Learning Strategies. Applied Intelligence 18 (2): 179-193 (2003) 23 Ching-Yao Wang , Tzung-Pei Hong, Shian-Shyong Tseng : Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. ICDM 2002 : 693-696 22 Jung-Yi Lin , Been-Chian Chien , Tzung-Pei Hong: A Function-Based Classifier Learning Scheme Using Genetic Programming. PAKDD 2002 : 92-103 21 Tzung-Pei Hong, Hong-Shung Wang , Wen-Yang Lin , Wen-Yuan Lee : Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process. Applied Intelligence 16 (1): 7-17 (2002) 20 Tzung-Pei Hong, Yeong-Chyi Lee : Mining Coverage-Based Fuzzy Rules by Evolutional Computation. ICDM 2001 : 218-224 19 Ching-Yao Wang , Tzung-Pei Hong, Shian-Shyong Tseng : Maintenance of Sequential Patterns for Record Deletion. ICDM 2001 : 536-541 18 Tzung-Pei Hong, Ke-Yuan Huang , Wen-Yang Lin : Adversarial Search by Evolutionary Computation. Evolutionary Computation 9 (3): 371-385 (2001) 17 Tzung-Pei Hong, Chan-Sheng Kuo , Sheng-Chai Chi : Trade-off Between Computation Time and Number of Rules for Fuzzy Mining from Quantitative Data. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9 (5): 587-604 (2001) 16 Shyue-Liang Wang , Jenn-Shing Tsai , Tzung-Pei Hong: Mining Functional Dependencies from Fuzzy Relational Databases. SAC (1) 2000 : 490-493 15 Tzung-Pei Hong, Chan-Sheng Kuo , Sheng-Chai Chi , Shyue-Liang Wang : Mining Fuzzy Rules from Quantitative Data Based on the AprioriTid Algorithm. SAC (1) 2000 : 534-536 14 Tzung-Pei Hong, Tzu-Tin Wang : Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains. Information Sciences 129 (1-4): 227-237 (2000) 13 Tzung-Pei Hong, Tzu-Ting Wang : A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain. IEA/AIE 1999 : 74-79 12 Tzung-Pei Hong, Shian-Shyong Tseng : Splitting and Merging Version Spaces to Learn Disjunctive Concepts. TKDE 11 (5): 813-815 (1999) 11 Tzung-Pei Hong, Chai-Ying Lee : Learning Fuzzy Knowledge from Training Examples. CIKM 1998 : 161-166 10 Tzung-Pei Hong, Jyh-Jong Lee : Parallel Neural Learning by Iteratively Adjusting Error Thresholds. ICPADS 1998 : 107- 9 Ching-Hung Wang , Tzung-Pei Hong, Shian-Shyong Tseng : Integrating fuzzy knowledge by genetic algorithms. IEEE Transactions on Evolutionary Computation 2 (4): 138-149 (1998) 8 Tzung-Pei Hong, Jyh-Jong Lee : A Nearly Optimal Back-Propagation Learning Algorithm on a Bus-Based Architecture. Parallel Processing Letters 8 (3): 297-306 (1998) 7 Rong-Huei Hou , Tzung-Pei Hong, Shian-Shyong Tseng , Sy-Yen Kuo : A New Probabilistic Induction Method. Journal of Automated Reasoning 18 (1): 5-24 (1997) 6 Tzung-Pei Hong, Shian-Shyong Tseng : A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data. TKDE 9 (2): 336-340 (1997) 5 Tzung-Pei Hong, Shian-Shyong Tseng : An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set. Parallel Computing 20 (3): 347-352 (1994) 4 Tzung-Pei Hong, Shian-Shyong Tseng : Learning Concepts in Parallel Based upon the Strategy of Version Space. TKDE 6 (6): 857-867 (1994) 3 Tzung-Pei Hong, Shian-Shyong Tseng : Comparison of ID3 and Its Generalized Version. ICCI 1992 : 241-244 2 Tzung-Pei Hong, Shian-Shyong Tseng : Parallel perceptron learning on a single-channel broadcast communication model. Parallel Computing 18 (2): 133-148 (1992) 1 Tzung-Pei Hong, Shian-Shyong Tseng : A Parallel Perceptron Learning Algorithm. ICPP (3) 1991 : 288-289  DiSC'03 © 2003 Association for Computing Machinery |
