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Tzung-Pei Hong

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2009
125EETzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng: Discovering fuzzy personal moving profiles in wireless networks. Appl. Soft Comput. 9(2): 667-676 (2009)
2008
124EEChun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Hsin-Yi Chen: An FUSP-Tree Maintenance Algorithm for Record Modification. ICDM Workshops 2008: 649-653
123EEChun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Been-Chian Chien: Incremental Mining with Prelarge Trees. IEA/AIE 2008: 169-178
122EEVincent S. Tseng, Chun-Hao Chen, Pai-Chieh Huang, Tzung-Pei Hong: A cluster-based genetic approach for segmentation of time series and pattern discovery. IEEE Congress on Evolutionary Computation 2008: 1949-1953
121EETzung-Pei Hong, Yan-Liang Liou: Case-Based Reasoning with feature clustering. IEEE ICCI 2008: 449-454
120EEJie-Hung Lee, Chiu-Ching Tuan, Tzung-Pei Hong: A maximum channel reuse scheme with Hopfield Neural Network based static cellular radio channel allocation systems. IJCNN 2008: 3660-3667
119EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng: A Cluster-Based Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. PAKDD 2008: 864-869
118EETzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Vincent S. Tseng: Fining Active Membership Functions in Fuzzy Data Mining. Data Mining: Foundations and Practice 2008: 179-196
117EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng: Mining Linguistic Trends from Time Series. Data Mining: Foundations and Practice 2008: 49-60
116EETzung-Pei Hong, Yeong-Chyi Lee: An Overview of Mining Fuzzy Association Rules. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 397-410
115EEChan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen: An Improved Knowledge-Acquisition Strategy Based on Genetic Programming. Cybernetics and Systems 39(7): 672-685 (2008)
114EEYeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang: Multi-level fuzzy mining with multiple minimum supports. Expert Syst. Appl. 34(1): 459-468 (2008)
113EETzung-Pei Hong, Chun-E Lin, Jiann-Horng Lin, Shyue-Liang Wang: Learning cross-level certain and possible rules by rough sets. Expert Syst. Appl. 34(3): 1698-1706 (2008)
112EEYu-Hui Tao, Tzung-Pei Hong, Yu-Ming Su: Web usage mining with intentional browsing data. Expert Syst. Appl. 34(3): 1893-1904 (2008)
111EETzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu: Incrementally fast updated frequent pattern trees. Expert Syst. Appl. 34(4): 2424-2435 (2008)
110EEWei-Chou Chen, Shian-Shyong Tseng, Tzung-Pei Hong: An efficient bit-based feature selection method. Expert Syst. Appl. 34(4): 2858-2869 (2008)
109EEShyue-Liang Wang, Rajeev Maskey, Ayat Jafari, Tzung-Pei Hong: Efficient sanitization of informative association rules. Expert Syst. Appl. 35(1-2): 442-450 (2008)
108EEChun-Hao Chen, Vincent S. Tseng, Tzung-Pei Hong: Cluster-Based Evaluation in Fuzzy-Genetic Data Mining. IEEE T. Fuzzy Systems 16(1): 249-262 (2008)
107EETzung-Pei Hong, Chun-Hao Chen, Yeong-Chyi Lee, Yu-Lung Wu: Genetic-Fuzzy Data Mining With Divide-and-Conquer Strategy. IEEE Trans. Evolutionary Computation 12(2): 252-265 (2008)
106EETzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng: Linguistic object-oriented web-usage mining. Int. J. Approx. Reasoning 48(1): 47-61 (2008)
105EETzung-Pei Hong, Min-Thai Wu: A Hierarchical Gene-Set Genetic Algorithm. JCP 3(11): 67-75 (2008)
2007
104EEChun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu: Using the Pre-FUFP Algorithm for Handling New Transactions in Incremental Mining. CIDM 2007: 598-603
103EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng: A Comparison of Different Fitness Functions for Extracting Membership Functions Used in Fuzzy Data Mining. FOCI 2007: 550-555
102EEYeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang: Mining Generalized Association Rules from a Different Perspective. FSKD (3) 2007: 351-355
101EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng, Chang-Shing Lee: A Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports. FUZZ-IEEE 2007: 1-6
100EETzung-Pei Hong: On Genetic-Fuzzy Data Mining Techniques. GrC 2007: 3
99EEChun-Wei Lin, Tzung-Pei Hong, Wen-Hsiang Lu, Chih-Hung Wu: Maintenance of Fast Updated Frequent Trees for Record Deletion Based on Prelarge Concepts. IEA/AIE 2007: 675-684
98EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng: A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. IEEE Congress on Evolutionary Computation 2007: 1-6
97EETzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin: Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. IEEE Congress on Evolutionary Computation 2007: 1163-1167
96EETzung-Pei Hong, Min-Thai Wu, Ya-Fang Tung, Shyue-Liang Wang: Using escape operations in gene-set genetic algorithms. SMC 2007: 3907-3911
95EEShyue-Liang Wang, Dipen Patel, Ayat Jafari, Tzung-Pei Hong: Hiding collaborative recommendation association rules. Appl. Intell. 27(1): 67-77 (2007)
94EETzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang: Mining fuzzy beta. Expert Syst. Appl. 32(1): 223-232 (2007)
93EECheng-Ming Huang, Tzung-Pei Hong, Shi-Jinn Horng: Mining knowledge from object-oriented instances. Expert Syst. Appl. 33(2): 441-450 (2007)
92EEShyue-Liang Wang, Kuan-Wei Huang, Tien-Chin Wang, Tzung-Pei Hong: Maintenance of informative ruler sets for predictions. Intell. Data Anal. 11(3): 279-292 (2007)
91EEChing-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu: Online Generation of Association Rules under Multi-dimensional Consideration Based on Negative-Border. J. Inf. Sci. Eng. 23(1): 233-242 (2007)
90EEWen-Yang Lin, Tzung-Pei Hong, Shyi-Ming Chen: Editorial. JACIII 11(4): 357-357 (2007)
89EETzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin: Dynamically Adjusting Migration Rates for Multi-Population Genetic Algorithms. JACIII 11(4): 410-415 (2007)
88EEChan-Sheng Kuo, Tzung-Pei Hong, Chuen-Lung Chen: Applying genetic programming technique in classification trees. Soft Comput. 11(12): 1165-1172 (2007)
2006
87EEVincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong: Segmentation of Time Series by the Clustering and Genetic Algorithms. ICDM Workshops 2006: 443-447
86EETzung-Pei Hong, Jun-Wei Lin, Yu-Lung Wu: Maintenance of Fast Updated Frequent Pattern Trees for Record Modification. ICICIC (1) 2006: 570-573
85EEYeong-Chyi Lee, Tzung-Pei Hong, Tien-Chin Wang: Mining Multiple-Level Association Rules Under the Maximum Constraint of Multiple Minimum Supports. IEA/AIE 2006: 1329-1338
84EEChien-Lung Wang, Gwoboa Horng, Yu-Sheng Chen, Tzung-Pei Hong: An Efficient Key-Update Scheme for Wireless Sensor Networks. International Conference on Computational Science (1) 2006: 1026-1029
83EEChien-Lung Wang, Tzung-Pei Hong, Gwoboa Horng, Wen-Hung Wang: A Key Renewal Scheme under the Power Consumption for Wireless Sensor Networks. JCIS 2006
82EETzung-Pei Hong, Yan-Liang Liou, Shyue-Liang Wang: Learning with Hierarchical Quantitative Attributes by Fuzzy Rough Sets. JCIS 2006
81EETzung-Pei Hong, Ming-Wen Tsai, Tung-Kuan Liu: Two-dimentional Encoding Schema and Genetic Operators. JCIS 2006
80EEChing-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong: Improved Negative-Border Online Mining Approaches. PAKDD 2006: 483-492
79EEChing-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng: Multidimensional On-line Mining. Foundations and Novel Approaches in Data Mining 2006: 243-257
78EEChing-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong: Flexible online association rule mining based on multidimensional pattern relations. Inf. Sci. 176(12): 1752-1780 (2006)
77EETzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang: Mining fuzzy sequential patterns from quantitative transactions. Soft Comput. 10(10): 925-932 (2006)
76EETzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee: A GA-based Fuzzy Mining Approach to Achieve a Trade-off Between Number of Rules and Suitability of Membership Functions. Soft Comput. 10(11): 1091-1101 (2006)
2005
75EEChun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng: Analyzing time-series data by fuzzy data-mining technique. GrC 2005: 112-117
74EETzung-Pei Hong, Cheng-Ming Huang, Shi-Jinn Horng: Mining Linguistic Mobility Patterns for Wireless Networks. KES (3) 2005: 1352-1358
73EETzung-Pei Hong, Wen-Chang Chang, Jiann-Horng Lin: A Two-Phased Ontology Selection Approach for Semantic Web. KES (4) 2005: 403-409
72EEShyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong: Discovery of Fuzzy Multiple-Level Web Browsing Patterns. Classification and Clustering for Knowledge Discovery 2005: 251-266
71EEYeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin: Mining association rules with multiple minimum supports using maximum constraints. Int. J. Approx. Reasoning 40(1-2): 44-54 (2005)
2004
70 Ching-Yao Wang, Shian-Shyong Tseng, Tzung-Pei Hong, Yianshu Chu: A Three-phased Online Association Rule Mining Approach for Diverse Mining Requests. ICEB 2004: 1085-1090
69EETzung-Pei Hong, Chun-Hao Chen, Yu-Lung Wu, Yeong-Chyi Lee: Using divide-and-conquer GA strategy in fuzzy data mining. ISCC 2004: 116-121
68EEYeong-Chyi Lee, Tzung-Pei Hong, Wen-Yang Lin: Mining Fuzzy Association Rules with Multiple Minimum Supports Using Maximum Constraints. KES 2004: 1283-1290
67EETzung-Pei Hong, Tzu-Jung Huang, Chao-Sheng Chang: Maintenance of multiple-level association rules for record modification. SMC (4) 2004: 3140-3145
66EETzung-Pei Hong, Li-Huei Tseng, Been-Chian Chien: Learning coverage rules from incomplete data based on rough sets. SMC (4) 2004: 3226-3231
65EEShyue-Liang Wang, Mei-Hwa Wang, Wen-Yang Lin, Tzung-Pei Hong: Adjustable discovery of adaptive-support association rules for collaborative recommendation systems. SMC (4) 2004: 3250-3254
64EEWen-Yang Lin, Tzung-Pei Hong, Shu-Min Liu: On adapting migration parameters for multi-population genetic algorithms. SMC (6) 2004: 5731-5735
63EETzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang: A fuzzy AprioriTid mining algorithm with reduced computational time. Appl. Soft Comput. 5(1): 1-10 (2004)
2003
62 Tzung-Pei Hong, Kuei-Ying Lin, Been-Chian Chien: Mining Fuzzy Multiple-Level Association Rules from Quantitative Data. Appl. Intell. 18(1): 79-90 (2003)
61 Ching-Hung Wang, Chang-Jiun Tsai, Tzung-Pei Hong, Shian-Shyong Tseng: Fuzzy Inductive Learning Strategies. Appl. Intell. 18(2): 179-193 (2003)
60EETzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang: Fuzzy data mining for interesting generalized association rules. Fuzzy Sets and Systems 138(2): 255-269 (2003)
59EEWen-Yang Lin, Wen-Yung Lee, Tzung-Pei Hong: Adapting Crossover and Mutation Rates in Genetic Algorithms. J. Inf. Sci. Eng. 19(5): 889-903 (2003)
2002
58 Shyue-Liang Wang, Wei-Shuo Lo, Tzung-Pei Hong: Discovery of Fuzzy Multiple-Level Web Browsing Patterns. FSKD 2002: 636-640
57EEChing-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng: Maintenance of Sequential Patterns for Record Modification Using Pre-large Sequences. ICDM 2002: 693-696
56EEJung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong: A Function-Based Classifier Learning Scheme Using Genetic Programming. PAKDD 2002: 92-103
55 Tzung-Pei Hong, Hong-Shung Wang, Wen-Yang Lin, Wen-Yuan Lee: Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process. Appl. Intell. 16(1): 7-17 (2002)
54EETzung-Pei Hong, Li-Huei Tseng, Shyue-Liang Wang: Learning rules from incomplete training examples by rough sets. Expert Syst. Appl. 22(4): 285-293 (2002)
53EEBeen-Chian Chien, Jung-Yi Lin, Tzung-Pei Hong: Learning discriminant functions with fuzzy attributes for classification using genetic programming. Expert Syst. Appl. 23(1): 31-37 (2002)
52EEWei-Chou Chen, Shian-Shyong Tseng, Lu-Ping Chang, Tzung-Pei Hong, Mon-Fong Jiang: A parallelized indexing method for large-scale case-based reasoning. Expert Syst. Appl. 23(2): 95-102 (2002)
51EEChing-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng: Maintenance of discovered sequential patterns for record deletion. Intell. Data Anal. 6(5): 399-410 (2002)
50EETzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin: Applying genetic algorithms to game search trees. Soft Comput. 6(3-4): 277-283 (2002)
49EETzung-Pei Hong, Kuei-Ying Lin, Shyue-Liang Wang: Mining linguistic browsing patterns in the world wide web. Soft Comput. 6(5): 329-336 (2002)
2001
48 Tzung-Pei Hong, Tzu-Ting Wang, Been-Chian Chien: Learning Approximate Fuzzy Rules From Training Examples. FUZZ-IEEE 2001: 256-259
47 Tzung-Pei Hong, Chan-Sheng Kuo, Shyue-Liang Wang: A Fuzzy AprioriTid Algorithm With Reduced Computational Time. FUZZ-IEEE 2001: 360-363
46EETzung-Pei Hong, Yeong-Chyi Lee: Mining Coverage-Based Fuzzy Rules by Evolutional Computation. ICDM 2001: 218-224
45EEChing-Yao Wang, Tzung-Pei Hong, Shian-Shyong Tseng: Maintenance of Sequential Patterns for Record Deletion. ICDM 2001: 536-541
44 Tzung-Pei Hong, Ke-Yuan Huang, Wen-Yang Lin: Adversarial Search by Evolutionary Computation. Evolutionary Computation 9(3): 371-385 (2001)
43EETzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao: A new incremental data mining algorithm using pre-large itemsets. Intell. Data Anal. 5(2): 111-129 (2001)
42EEShyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong: Discovering functional dependencies from similarity-based fuzzy relational databases. Intell. Data Anal. 5(2): 131-149 (2001)
41 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)
40EEChing-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng: A Genetics-Based Approach to Knowledge Integration and Refinement. J. Inf. Sci. Eng. 17(1): 85-94 (2001)
39EEShyue-Liang Wang, Tzung-Pei Hong, Wen-Yang Lin: Answering Null Queries by Analogical Reasoning on Similarity-based Fuzzy Relational Databases. JACIII 5(3): 163-171 (2001)
38EETzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang: A Fuzzy CDS-based Scheduling Algorithm for More Than Two Machine Centers. JACIII 5(4): 239-245 (2001)
37EETzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang: A palmer-based continuous fuzzy flexible flow-shop scheduling algorithm. Soft Comput. 5(6): 426-433 (2001)
2000
36EETzung-Pei Hong, Ching-Yao Wang, Yu-Hui Tao: Incremental data mining based on two support thresholds. KES 2000: 436-439
35 Shyue-Liang Wang, Jenn-Shing Tsai, Tzung-Pei Hong: Mining Functional Dependencies from Fuzzy Relational Databases. SAC (1) 2000: 490-493
34 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
33 Tzung-Pei Hong, Tzu-Ting Wang: Fuzzy flexible flow shops at two machine centers for continuous fuzzy domains. Inf. Sci. 129(1-4): 227-237 (2000)
32EETzung-Pei Hong, Shyue-Liang Wang: Determining appropriate membership functions to simplify fuzzy induction. Intell. Data Anal. 4(1): 51-66 (2000)
31EETzung-Pei Hong, Tzu-Ting Wang, Shyue-Liang Wang: Knowledge acquisition from quantitative data using the rough-set theory. Intell. Data Anal. 4(3-4): 289-304 (2000)
30EEShyue-Liang Wang, Tzung-Pei Hong: Incomplete Input Inference on Fuzzy Production Systems Supported by Petri Nets. International Journal on Artificial Intelligence Tools 9(4): 537-549 (2000)
29 Tzung-Pei Hong, Hong-Shung Wang, Wei-Chou Chen: Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms. J. Heuristics 6(4): 439-455 (2000)
1999
28 Tzung-Pei Hong, Tzu-Ting Wang: A New Fuzzy Flexible Flow-Shop Algorithm for Continous Fuzzy Domain. IEA/AIE 1999: 74-79
27EETzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi: A fuzzy data mining algorithm for quantitative values. KES 1999: 480-483
26EEWei-Chou Chen, Tzung-Pei Hong, Wen-Yang Lin: A Composite Data Model in Object-Oriented Data Warehousing. TOOLS (31) 1999: 400-405
25EETzung-Pei Hong, Shian-Shyong Tseng: Splitting and Merging Version Spaces to Learn Disjunctive Concepts. IEEE Trans. Knowl. Data Eng. 11(5): 813-815 (1999)
24EETzung-Pei Hong, Chai-Ying Lee: Effect of merging order on performance of fuzzy induction. Intell. Data Anal. 3(2): 139-151 (1999)
23EETzung-Pei Hong, Chan-Sheng Kuo, Sheng-Chai Chi: Mining association rules from quantitative data. Intell. Data Anal. 3(5): 363-376 (1999)
22EETzung-Pei Hong, Jyh-Jong Lee: Parallel Neural Learning for Control Problems on a Bus-Based Architecture. International Journal of High Speed Computing 10(3): 257-273 (1999)
21EETzung-Pei Hong, Tzung-Nan Chuang: Fuzzy palmer Scheduling for Flow Shops with More than Two Machines. J. Inf. Sci. Eng. 15(3): 397-406 (1999)
1998
20EETzung-Pei Hong, Chai-Ying Lee: Learning Fuzzy Knowledge from Training Examples. CIKM 1998: 161-166
19EETzung-Pei Hong, Jyh-Jong Lee: Parallel Neural Learning by Iteratively Adjusting Error Thresholds. ICPADS 1998: 107-
18 Ching-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng: Integrating fuzzy knowledge by genetic algorithms. IEEE Trans. Evolutionary Computation 2(4): 138-149 (1998)
17EEChing-Hung Wang, Tzung-Pei Hong, Shian-Shyong Tseng: A New Hybrid Learning Algorithm for Non-Linear Boundaries. J. Inf. Sci. Eng. 14(2): 305-325 (1998)
16EETzung-Pei Hong, Shian-Shyong Tseng: Primal-Dual Version Spaces for Acquisition of Disjunctive Concepts. J. Inf. Sci. Eng. 14(2): 327-345 (1998)
15EETzung-Pei Hong, Hong-Shung Wang: Automatically Adjusting Crossover Ratios of Multiple Crossover Operators. J. Inf. Sci. Eng. 14(2): 369-390 (1998)
14EETzung-Pei Hong, Wei-Chou Chen: Fuzzy Flexible-Flow Shops at Two Machine Centers. JACIII 2(4): 142-149 (1998)
13EETzung-Pei Hong, Tzung-Nan Chuang: Fuzzy scheduling on two-machine flow shop. Journal of Intelligent and Fuzzy Systems 6(4): 471-481 (1998)
12EETzung-Pei Hong, Tzung-Nan Chuang: Fuzzy CDS scheduling for flow shops with more than two machines. Journal of Intelligent and Fuzzy Systems 6(4): 483-494 (1998)
11 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)
1997
10EETzung-Pei Hong, Shian-Shyong Tseng: A Generalized Version Space Learning Algorithm for Noisy and Uncertain Data. IEEE Trans. Knowl. Data Eng. 9(2): 336-340 (1997)
9 Rong-Huei Hou, Tzung-Pei Hong, Shian-Shyong Tseng, Sy-Yen Kuo: A New Probabilistic Induction Method. J. Autom. Reasoning 18(1): 5-24 (1997)
1995
8EEChing-Hung Wang, Shian-Shyong Tseng, Tzung-Pei Hong: Design of a Self-Adaptive Brain Tumor Diagnostic System. J. Inf. Sci. Eng. 11(2): 275-294 (1995)
1994
7EETzung-Pei Hong, Shian-Shyong Tseng: Learning Concepts in Parallel Based upon the Strategy of Version Space. IEEE Trans. Knowl. Data Eng. 6(6): 857-867 (1994)
6 Tzung-Pei Hong, Shian-Shyong Tseng: An Optimal Parallel Perceptron Learning Algorithm for a LargeTraining Set. Parallel Computing 20(3): 347-352 (1994)
1992
5 Tzung-Pei Hong, Shian-Shyong Tseng: Comparison of ID3 and Its Generalized Version. ICCI 1992: 241-244
4 Tzung-Pei Hong, Shian-Shyong Tseng: A probabilistic perceptron learning algorithm. J. Exp. Theor. Artif. Intell. 4(4): 265-279 (1992)
3 Tzung-Pei Hong, Shian-Shyong Tseng: Parallel perceptron learning on a single-channel broadcast communication model. Parallel Computing 18(2): 133-148 (1992)
1991
2EETzung-Pei Hong, Shian-Shyong Tseng: Models of parallel learning systems. ICDCS 1991: 125-132
1 Tzung-Pei Hong, Shian-Shyong Tseng: A Parallel Perceptron Learning Algorithm. ICPP (3) 1991: 288-289

Coauthor Index

1Chao-Sheng Chang [67]
2Lu-Ping Chang [52]
3Wen-Chang Chang [73]
4Chien-Hsiang Chen [87]
5Chuen-Lung Chen [88] [115]
6Chun-Hao Chen [69] [75] [76] [87] [98] [101] [103] [107] [108] [117] [118] [119] [122]
7Hsin-Yi Chen [124]
8Shyi-Ming Chen [90]
9Wei-Chou Chen [14] [26] [29] [52] [110]
10Yu-Sheng Chen [84]
11Sheng-Chai Chi [23] [27] [34] [41]
12Been-Chian Chien [48] [53] [56] [62] [66] [123]
13Yianshu Chu [70] [91]
14Tzung-Nan Chuang [12] [13] [21]
15Gwoboa Horng [83] [84]
16Shi-Jinn Horng [74] [93] [106] [125]
17Rong-Huei Hou [9]
18Cheng-Ming Huang [74] [93] [106] [125]
19Ke-Yuan Huang [44] [50]
20Kuan-Wei Huang [92]
21Pai-Chieh Huang [122]
22Tzu-Jung Huang [67]
23Ayat Jafari [95] [109]
24Mon-Fong Jiang [52]
25Chan-Sheng Kuo [23] [27] [34] [41] [47] [63] [88] [115]
26Sy-Yen Kuo [9]
27Chai-Ying Lee [20] [24]
28Chang-Shing Lee [101]
29Jie-Hung Lee [120]
30Jyh-Jong Lee [11] [19] [22]
31Wen-Yuan Lee [55]
32Wen-Yung Lee [59]
33Yeong-Chyi Lee [46] [68] [69] [71] [76] [85] [102] [107] [114] [116]
34Chun-E Lin [113]
35Chun-Wei Lin [99] [104] [111] [123] [124]
36Jiann-Horng Lin [73] [89] [97] [113]
37Jun-Wei Lin [86]
38Jung-Yi Lin [53] [56]
39Kuei-Ying Lin [49] [60] [62] [77]
40Wen-Yang Lin [26] [39] [44] [50] [55] [59] [64] [65] [68] [71] [89] [90] [97]
41Yan-Liang Liou [82] [121]
42Shu-Min Liu [64] [89] [97]
43Tung-Kuan Liu [81]
44Wei-Shuo Lo [58] [72]
45Wen-Hsiang Lu [99] [104] [123] [124]
46Rajeev Maskey [109]
47Dipen Patel [95]
48Yu-Ming Su [112]
49Yu-Hui Tao [36] [43] [112]
50Chang-Jiun Tsai [61]
51Jenn-Shing Tsai [35] [42]
52Ming-Wen Tsai [81]
53Li-Huei Tseng [54] [66]
54Shian-Shyong Tseng [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [16] [17] [18] [25] [40] [45] [51] [52] [57] [61] [70] [78] [79] [80] [91] [110]
55Vincent S. Tseng (Vincent Shin-Mu Tseng, Shin-Mu Tseng) [75] [87] [98] [101] [103] [108] [117] [118] [119] [122]
56Chiu-Ching Tuan [120]
57Ya-Fang Tung [96]
58Chien-Lung Wang [83] [84]
59Ching-Hung Wang [8] [17] [18] [40] [61]
60Ching-Yao Wang [36] [43] [45] [51] [57] [70] [78] [79] [80] [91]
61Hong-Shung Wang [15] [29] [55]
62Mei-Hwa Wang [65]
63Shyue-Liang Wang [30] [31] [32] [34] [35] [37] [38] [39] [42] [47] [49] [54] [58] [60] [63] [65] [72] [77] [82] [92] [94] [95] [96] [109] [113]
64Tien-Chin Wang [85] [92] [102] [114]
65Tzu-Ting Wang [28] [31] [33] [37] [38] [48] [94]
66Wen-Hung Wang [83]
67Chih-Hung Wu [99]
68Min-Thai Wu [96] [105]
69Yu-Lung Wu [69] [76] [86] [107] [111] [118]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)