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William H. Hsu Vis

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*2009
32EETim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal: An evolutionary approach to constructive induction for link discovery. GECCO 2009: 1941-1942
31EETim Weninger, William H. Hsu, Jing Xia, Waleed Aljandal: An evolutionary approach to constructive induction for link discovery. GECCO (Companion) 2009: 2167-2172
30 Tim Weninger, Rodney Howell, William H. Hsu: Graph Drawing Heuristics for Path Finding in Large Dimensionless Graphs. IC-AI 2009: 501-507
2008
29EETim Weninger, William H. Hsu: Text Extraction from the Web via Text-to-Tag Ratio. DEXA Workshops 2008: 23-28
2007
28EEMartin S. R. Paradesi, Doina Caragea, William H. Hsu: Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. BIBE 2007: 1270-1274
27EEHaipeng Guo, William H. Hsu: A machine learning approach to algorithm selection for NP\mathcal{NP} -hard optimization problems: a case study on the MPE problem. Annals OR 156(1): 61-82 (2007)
2005
26 Praveen Koduru, William H. Hsu, Sanjoy Das, Stephen Welch, Judith L. Roe: Dynamic System Prediction using Temporal Artificial Neural Networks and Multi-Objective Genetic Algorithms. Computational Intelligence 2005: 214-219
25EEJán Antolík, William H. Hsu: Evolutionary tree genetic programming. GECCO 2005: 1789-1790
2004
24EEHaipeng Guo, William H. Hsu: A Learning-Based Algorithm Selection Meta-reasoner for the Real-Time MPE Problem. Australian Conference on Artificial Intelligence 2004: 307-318
23EEHaipeng Guo, Prashanth R. Boddhireddy, William H. Hsu: An ACO Algorithm for the Most Probable Explanation Problem. Australian Conference on Artificial Intelligence 2004: 778-790
22EEWilliam H. Hsu: Relational Graphical Models of Computational Workflows for Data Mining. ICSNW 2004: 309-310
21EEWilliam H. Hsu: Genetic wrappers for feature selection in decision tree induction and variable ordering in Bayesian network structure learning. Inf. Sci. 163(1-3): 103-122 (2004)
2003
20EEHaipeng Guo, William H. Hsu: GA-Hardness Revisited. GECCO 2003: 1584-1585
2002
19 Haipeng Guo, Benjamin B. Perry, Julie A. Stilson, William H. Hsu: A Genetic Algorithm for Tuning Variable Orderings in Bayesian Network Structure Learning. AAAI/IAAI 2002: 951-952
18 Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Approach For The Steiner Tree Problem. GECCO 2002: 135
17 William H. Hsu, Haipeng Guo, Benjamin B. Perry, Julie A. Stilson: A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From Data. GECCO 2002: 383-390
16 William H. Hsu, Cecil P. Schmidt, James A. Louis: Genetic Algorithm Wrappers For Feature Subset Selection In Supervised Inductive Learning. GECCO 2002: 680
15 William H. Hsu, Steven M. Gustafson: Genetic Programming And Multi-agent Layered Learning By Reinforcements. GECCO 2002: 764-771
14 Sanjoy Das, Shekhar V. Gosavi, William H. Hsu, Shilpa A. Vaze: An Ant Colony Algorithm for Steiner Trees: New Results. GECCO Late Breaking Papers 2002: 69-75
13 William H. Hsu, Michael Welge, Thomas Redman, David Clutter: High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application. Data Min. Knowl. Discov. 6(4): 361-391 (2002)
2001
12EESteven M. Gustafson, William H. Hsu: Layered Learning in Genetic Programming for a Cooperative Robot Soccer Problem. EuroGP 2001: 291-301
2000
11 William H. Hsu, Yuhong Cheng, Haipeng Guo, Steven M. Gustafson: Genetic Algorithms for Reformulation of Large-Scale KDD Problems with Many Irrelevant Attributes. GECCO 2000: 1081
10 William H. Hsu, Michael Welge, Thomas Redman, David Clutter: Genetic Wrappers for Constructive Induction in High-Performance Data Mining. GECCO 2000: 765
9 William H. Hsu, Sylvian R. Ray, David C. Wilkins: A Multistrategy Approach to Classifier Learning from Time Series. Machine Learning 38(1-2): 213-236 (2000)
1998
8 Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins: Bayesian Network Models for Generation of Crisis Management Training Scenarios. AAAI/IAAI 1998: 1113-1120
7EESylvian R. Ray, William H. Hsu: Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences. Intell. Data Anal. 2(1-4): 287-301 (1998)
1997
6 William H. Hsu: Probabilistic Learning in Bayesian and Stochastic Neural Networks. AAAI/IAAI 1997: 810
1995
5 William H. Hsu, Amy E. Zwarico: Automatic Synthesis of Compression Techniques for Heterogeneous Softw., Pract. Exper. 25(10): 1097-1116 (1995)
1993
4 Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu: Probabilistic Prediction of Protein Secondary Structure Using Causal Networks (Extended Abstract). AAAI 1993: 316-321
3 Arthur L. Delcher, Simon Kasif, Harry R. Goldberg, William H. Hsu: Protein Secondary-Structure Modeling with Probabilistic Networks. ISMB 1993: 109-117
2EEWilliam H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio: The Clusnet Algorithm And Time Series Prediction. Int. J. Neural Syst. 4(3): 247-255 (1993)
1 William H. Hsu, Loke-Soo Hsu, Manoel Fernando Tenorio: Parameter Significance Estimation and Financial Prediction. Neural Computing and Applications 1(4): 280-285 (1993)

Coauthor Index

1Waleed Aljandal [31] [32]
2Ján Antolík [25]
3Prashanth R. Boddhireddy [23]
4Doina Caragea [28]
5Yuhong Cheng [11]
6David Clutter [10] [13]
7Sanjoy Das [14] [18] [26]
8Arthur L. Delcher [3] [4]
9Harry R. Goldberg [3] [4]
10Shekhar V. Gosavi [14] [18]
11Eugene Grois [8]
12Haipeng Guo [11] [17] [19] [20] [23] [24] [27]
13Steven M. Gustafson [11] [12] [15]
14Rodney Howell [30]
15Loke-Soo Hsu [1] [2]
16Simon Kasif [3] [4]
17Praveen Koduru [26]
18James A. Louis [16]
19Martin S. R. Paradesi [28]
20Benjamin B. Perry [17] [19]
21Sylvian R. Ray [7] [9]
22Thomas Redman (Thomas C. Redman) [10] [13]
23Judith L. Roe [26]
24Cecil P. Schmidt [16]
25Julie A. Stilson [17] [19]
26Manoel Fernando Tenorio [1] [2]
27Shilpa A. Vaze [14] [18]
28Mikhail Voloshin [8]
29Stephen Welch [26]
30Michael Welge [10] [13]
31Tim Weninger [29] [30] [31] [32]
32David C. Wilkins [8] [9]
33Jing Xia [31] [32]
34Amy E. Zwarico [5]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)