Vasant Honavar

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2009
122Detection of Gene Orthology Based on Protein-Protein Interaction Networks. Fadi Towfic, M. Heather West Greenlee, Vasant Honavar. BIBM 2009, 48-53. Web SearchBibTeXDownload
121Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling. Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (10) (2009). Web SearchBibTeXDownload
120MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Yasser El-Manzalawy, Vasant Honavar. Discovery Science 2009, 80-91. Web SearchBibTeXDownload
119Machine Learning in Computational Biology. Cornelia Caragea, Vasant Honavar. Encyclopedia of Database Systems 2009, 1663-1667. Web SearchBibTeXDownload
118Combining Super-Structuring and Abstraction on Sequence Classification. Adrian Silvescu, Cornelia Caragea, Vasant Honavar. ICDM 2009, 986-991. Web SearchBibTeXDownload
117Design and Implementation of a Query Planner for Data Integration. Neeraj Koul, Vasant Honavar. ICTAI 2009, 214-218. Web SearchBibTeXDownload
116Learning Link-Based Classifiers from Ontology-Extended Textual Data. Cornelia Caragea, Doina Caragea, Vasant Honavar. ICTAI 2009, 354-361. Web SearchBibTeXDownload
115Web Service Substitution Based on Preferences Over Non-functional Attributes. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. IEEE SCC 2009, 210-217. Web SearchBibTeXDownload
114Package-Based Description Logics. Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. Modular Ontologies 2009, 349-371. Web SearchBibTeXDownload
113Learning Link-Based Naïve Bayes Classifiers from Ontology-Extended Distributed Data. Cornelia Caragea, Doina Caragea, Vasant Honavar. OTM Conferences (2) 2009, 1139-1146. Web SearchBibTeXDownload
112Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence. Oksana Yakhnenko, Vasant Honavar. SDM 2009, 281-294. Web SearchBibTeXDownload
111Aligning Biomolecular Networks Using Modular Graph Kernels. Fadi Towfic, M. Heather West Greenlee, Vasant Honavar. WABI 2009, 345-361. Web SearchBibTeXDownload
2008
110On the Decidability of Role Mappings between Modular Ontologies. Jie Bao, George Voutsadakis, Giora Slutzki, Vasant Honavar. AAAI 2008, 400-405. Web SearchBibTeX
109Using Global Sequence Similarity to Enhance Biological Sequence Labeling. Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar. BIBM 2008, 104-111. Web SearchBibTeXDownload
108Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information. Yasser El-Manzalawy, Drena Dobbs, Vasant Honavar. BIBM 2008, 289-292. Web SearchBibTeXDownload
107Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. Myron Peto, Andrzej Kloczkowski, Vasant Honavar, Robert L. Jernigan. BMC Bioinformatics (9) (2008). Web SearchBibTeXDownload
106Complexes of on-line self assembly. Neeraj Koul, Jim Lathrop, Jack Lutz, Vasant Honavar. EIT 2008, 448-452. Web SearchBibTeXDownload
105Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering. Kewei Tu, Vasant Honavar. ICGI 2008, 224-237. Web SearchBibTeXDownload
104TCP-Compose* - A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. ICSOC 2008, 453-467. Web SearchBibTeXDownload
103Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm. Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yang, Vasant Honavar. ICTAI (1) 2008, 393-400. Web SearchBibTeXDownload
102Composing Web Services through Automatic Reformulation of Service Specifications. Jyotishman Pathak, Samik Basu, Vasant Honavar. IEEE SCC (1) 2008, 361-369. Web SearchBibTeXDownload
101MOSCOE: an Approach for Composing Web Services through Iterative Reformulation of Functional Specifications. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. International Journal on Artificial Intelligence Tools (17): 109-138 (2008). Web SearchBibTeXDownload
100Striking Similarities in Diverse Telomerase Proteins Revealed by Combining Structure Prediction and Machine Learning Approaches. Jae-Hyung Lee, Michael Hamilton, Colin Gleeson, Cornelia Caragea, Peter Zaback, Jeffry D. Sander, Xue Li, Feihong Wu, Michael Terribilini, Vasant Honavar, Drena Dobbs. Pacific Symposium on Biocomputing 2008, 501-512. Web SearchBibTeXDownload
99On Utilizing Qualitative Preferences in Web Service Composition: A CP-net Based Approach. Ganesh Ram Santhanam, Samik Basu, Vasant Honavar. SERVICES I 2008, 538-544. Web SearchBibTeXDownload
98Visual Methods for Examining SVM Classifiers. Doina Caragea, Dianne Cook, Hadley Wickham, Vasant Honavar. Visual Data Mining 2008, 136-153. Web SearchBibTeXDownload
97Learning Classifiers from Large Databases Using Statistical Queries. Neeraj Koul, Cornelia Caragea, Vasant Honavar, Vikas Bahirwani, Doina Caragea. Web Intelligence 2008, 923-926. Web SearchBibTeXDownload
96Federated ALCI: Preliminary Report. George Voutsadakis, Giora Slutzki, Vasant Honavar, Jie Bao. Web Intelligence 2008, 575-578. Web SearchBibTeXDownload
2007
95A Semantic Importing Approach to Knowledge Reuse from Multiple Ontologies. Jie Bao, Giora Slutzki, Vasant Honavar. AAAI 2007, 1304-1309. Web SearchBibTeX
94Assessing the Performance of Macromolecular Sequence Classifiers. Cornelia Caragea, Jivko Sinapov, Vasant Honavar, Drena Dobbs. BIBE 2007, 320-326. Web SearchBibTeXDownload
93Analysis of Protein Protein Dimeric Interfaces. Feihong Wu, Fadi Towfic, Drena Dobbs, Vasant Honavar. BIBM 2007, 35. Web SearchBibTeXDownload
92Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach. Carson M. Andorf, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (8) (2007). Web SearchBibTeXDownload
91Glycosylation site prediction using ensembles of Support Vector Machine classifiers. Cornelia Caragea, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (8) (2007). Web SearchBibTeXDownload
90Assembling Composite Web Services from Autonomous Components. Jyotishman Pathak, Samik Basu, Vasant Honavar. Emerging Artificial Intelligence Applications in Computer Engineering 2007, 394-405. Web SearchBibTeX
89On Context-Specific Substitutability of Web Services. Jyotishman Pathak, Samik Basu, Vasant Honavar. ICWS 2007, 192-199. Web SearchBibTeXDownload
88Integrated Decision Algorithms for Auto-steered Electric Transmission System Asset Management. James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Daji Qiao, Ronald A. Roberts, Yuan Li, Jyotishman Pathak, Mujing Ye, Yili Hong. International Conference on Computational Science (1) 2007, 1066-1073. Web SearchBibTeXDownload
87RNABindR: a server for analyzing and predicting RNA-binding sites in proteins. Michael Terribilini, Jeffry D. Sander, Jae-Hyung Lee, Peter Zaback, Robert L. Jernigan, Vasant Honavar, Drena Dobbs. Nucleic Acids Research (35): 578-584 (2007). Web SearchBibTeXDownload
86Privacy-Preserving Reasoning on the SemanticWeb. Jie Bao, Giora Slutzki, Vasant Honavar. Web Intelligence 2007, 791-797. Web SearchBibTeXDownload
2006
85Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm. Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honavar. ADMA 2006, 465-472. Web SearchBibTeXDownload
84Modular Ontologies - A Formal Investigation of Semantics and Expressivity. Jie Bao, Doina Caragea, Vasant Honavar. ASWC 2006, 616-631. Web SearchBibTeXDownload
83Predicting DNA-binding sites of proteins from amino acid sequence. Changhui Yan, Michael Terribilini, Feihong Wu, Robert L. Jernigan, Drena Dobbs, Vasant Honavar. BMC Bioinformatics (7): 262 (2006). Web SearchBibTeXDownload
82Learning Classifiers from Distributed, Ontology-Extended Data Sources. Doina Caragea, Jun Zhang, Jyotishman Pathak, Vasant Honavar. DaWaK 2006, 363-373. Web SearchBibTeXDownload
81A Tool for Collaborative Construction of Large Biological Ontologies. Jie Bao, Zhiliang Hu, Doina Caragea, James Reecy, Vasant Honavar. DEXA Workshops 2006, 191-195. Web SearchBibTeXDownload
80Parallel Web Service Composition in MoSCoE: A Choreography-Based Approach. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ECOWS 2006, 3-12. Web SearchBibTeXDownload
79Condition Data Aggregation with Application to Failure Rate Calculation of Power Transformers. Jyotishman Pathak, Yong Jiang, Vasant Honavar, James D. McCalley. HICSS 2006. Web SearchBibTeXDownload
78MoSCoE: A Framework for Modeling Web Service Composition and Execution. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ICDE Workshops 2006, 143. Web SearchBibTeXDownload
77Modeling Web Services by Iterative Reformulation of Functional and Non-functional Requirements. Jyotishman Pathak, Samik Basu, Vasant Honavar. ICSOC 2006, 314-326. Web SearchBibTeXDownload
76A Service-Oriented Architecture for Electric Power Transmission System Asset Management. Jyotishman Pathak, Yuan Li, Vasant Honavar, James D. McCalley. ICSOC Workshops 2006, 26-37. Web SearchBibTeXDownload
75Selecting and Composing Web Services through Iterative Reformulation of Functional Specifications. Jyotishman Pathak, Samik Basu, Robyn R. Lutz, Vasant Honavar. ICTAI 2006, 445-454. Web SearchBibTeXDownload
74Auto-steered Information-Decision Processes for Electric System Asset Management. James D. McCalley, Vasant Honavar, Sarah M. Ryan, William Q. Meeker, Ronald A. Roberts, Daji Qiao, Yuan Li. International Conference on Computational Science (3) 2006, 440-447. Web SearchBibTeXDownload
73On the Semantics of Linking and Importing in Modular Ontologies. Jie Bao, Doina Caragea, Vasant Honavar. International Semantic Web Conference 2006, 72-86. Web SearchBibTeXDownload
72Package-Based Description Logics - Preliminary Results. Jie Bao, Doina Caragea, Vasant Honavar. International Semantic Web Conference 2006, 967-969. Web SearchBibTeXDownload
71Towards the automatic generation of mobile agents for distributed intrusion detection system. Yanxin Wang, Smruti Ranjan Behera, Johnny Wong, Guy G. Helmer, Vasant Honavar, Les Miller, Robyn R. Lutz, Mark Slagell. Journal of Systems and Software (79): 1-14 (2006). Web SearchBibTeXDownload
70Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Jun Zhang, Dae-Ki Kang, Adrian Silvescu, Vasant Honavar. Knowl. Inf. Syst. (9): 157-179 (2006). Web SearchBibTeXDownload
69Adapt OWL as a Modular Ontology Language. Jie Bao, Vasant Honavar. OWLED 2006. Web SearchBibTeXDownload
68RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification. Dae-Ki Kang, Adrian Silvescu, Vasant Honavar. PAKDD 2006, 45-54. Web SearchBibTeXDownload
67TRIPPER: Rule Learning Using Taxonomies. Flavian Vasile, Adrian Silvescu, Dae-Ki Kang, Vasant Honavar. PAKDD 2006, 55-59. Web SearchBibTeXDownload
66Efficient Markov Network Structure Discovery using Independence Tests. Facundo Bromberg, Dimitris Margaritis, Vasant Honavar. SDM 2006. Web SearchBibTeXDownload
65A Tableau-Based Federated Reasoning Algorithm for Modular Ontologies. Jie Bao, Doina Caragea, Vasant Honavar. Web Intelligence 2006, 404-410. Web SearchBibTeXDownload
64Divide and Conquer Semantic Web with Modular Ontologies - A Brief Review of Modular Ontology Language Formalisms. Jie Bao, Vasant Honavar. WoMO 2006. Web SearchBibTeXDownload
2005
63Learning Support Vector Machines from Distributed Data Sources. Cornelia Caragea, Doina Caragea, Vasant Honavar. AAAI 2005, 1602-1603. Web SearchBibTeX
62Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources. Doina Caragea, Jun Zhang, Jie Bao, Jyotishman Pathak, Vasant Honavar. ALT 2005, 13-44. Web SearchBibTeXDownload
61Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data. Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter, Vasant Honavar, Drena Dobbs. CoRR (abs/cs/0511075) (2005). Web SearchBibTeXDownload
60Information Integration from Semantically Heterogeneous Biological Data Sources. Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. DEXA Workshops 2005, 580-584. Web SearchBibTeXDownload
59Information Integration and Knowledge Acquisition from Semantically Heterogeneous Biological Data Sources. Doina Caragea, Jyotishman Pathak, Jie Bao, Adrian Silvescu, Carson M. Andorf, Drena Dobbs, Vasant Honavar. DILS 2005, 175-190. Web SearchBibTeXDownload
58Learning Ontology-Aware Classifiers. Jun Zhang, Doina Caragea, Vasant Honavar. Discovery Science 2005, 308-321. Web SearchBibTeXDownload
57Discriminatively Trained Markov Model for Sequence Classification. Oksana Yakhnenko, Adrian Silvescu, Vasant Honavar. ICDM 2005, 498-505. Web SearchBibTeXDownload
56Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation. Dae-Ki Kang, Doug Fuller, Vasant Honavar. ISI 2005, 511-516. Web SearchBibTeXDownload
55Learning Classifiers Using Hierarchically Structured Class Taxonomies. Feihong Wu, Jun Zhang, Vasant Honavar. SARA 2005, 313-320. Web SearchBibTeXDownload
54Multinomial Event Model Based Abstraction for Sequence and Text Classification. Dae-Ki Kang, Jun Zhang, Adrian Silvescu, Vasant Honavar. SARA 2005, 134-148. Web SearchBibTeXDownload
53A framework for semantic web services discovery. Jyotishman Pathak, Neeraj Koul, Doina Caragea, Vasant Honavar. WIDM 2005, 45-50. Web SearchBibTeXDownload
2004
52Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jernigan, Changhui Yan, Vasant Honavar, Kai-Ming Ho, Cai-Zhuang Wang, Yungok Ihm, Haibo Cao, Xun Gu, Drena Dobbs. BMC Bioinformatics (5): 205 (2004). Web SearchBibTeXDownload
51Learning Classifiers from Semantically Heterogeneous Data. Doina Caragea, Jyotishman Pathak, Vasant Honavar. CoopIS/DOA/ODBASE (2) 2004, 963-980. Web SearchBibTeXDownload
50Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data. Jinu Joo, Jun Zhang, Jihoon Yang, Vasant Honavar. Discovery Science 2004, 347-354. Web SearchBibTeXDownload
49Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers. Dae-Ki Kang, Adrian Silvescu, Jun Zhang, Vasant Honavar. ICDM 2004, 130-137. Web SearchBibTeXDownload
48AVT-NBL: An Algorithm for Learning Compact and Accurate Naïve Bayes Classifiers from Attribute Value Taxonomies and Data. Jun Zhang, Vasant Honavar. ICDM 2004, 289-296. Web SearchBibTeXDownload
47Integration of Domain-Specific and Domain-Independent Ontologies for Colonoscopy Video Database Annotation. Jie Bao, Yu Cao, Wallapak Tavanapong, Vasant Honavar. IKE 2004, 82-90. Web SearchBibTeX
46A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. Doina Caragea, Adrian Silvescu, Vasant Honavar. Int. J. Hybrid Intell. Syst. (1): 80-89 (2004). Web SearchBibTeXDownload
45A two-stage classifier for identification of protein-protein interface residues. Changhui Yan, Drena Dobbs, Vasant Honavar. ISMB/ECCB (Supplement of Bioinformatics) 2004, 371-378. Web SearchBibTeXDownload
44Identification of interface residues in protease-inhibitor and antigen-antibody complexes: a support vector machine approach. Changhui Yan, Vasant Honavar, Drena Dobbs. Neural Computing and Applications (13): 123-129 (2004). Web SearchBibTeXDownload
43Ontology-Extended Component-Based Workflows : A Framework for Constructing Complex Workflows from Semantically Heterogeneous Software Components. Jyotishman Pathak, Doina Caragea, Vasant Honavar. SWDB 2004, 41-56. Web SearchBibTeXDownload
2003
42Towards Simple, Easy-to-Understand, yet Accurate Classifiers. Doina Caragea, Dianne Cook, Vasant Honavar. ICDM 2003, 497-500. Web SearchBibTeXDownload
41Learning from Attribute Value Taxonomies and Partially Specified Instances. Jun Zhang, Vasant Honavar. ICML 2003, 880-887. Web SearchBibTeX
40Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources. Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vasant Honavar. IIWeb 2003, 99-104. Web SearchBibTeXDownload
39A Multi-relational Decision Tree Learning Algorithm - Implementation and Experiments. Anna Atramentov, Hector Leiva, Vasant Honavar. ILP 2003, 38-56. Web SearchBibTeXDownload
38Automated data-driven discovery of motif-based protein function classifiers. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar. Inf. Sci. (155): 1-18 (2003). Web SearchBibTeXDownload
37Information Extraction and Integration from Heterogeneous, Distributed, Autonomous Information Sources : A Federated Ontology-Driven Query-Centric Approach. Jaime Reinoso, Adrian Silvescu, Doina Caragea, Jyotishman Pathak, Vasant Honavar. IRI 2003, 183-191. Web SearchBibTeX
36Lightweight agents for intrusion detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller, Yanxin Wang. Journal of Systems and Software (67): 109-122 (2003). Web SearchBibTeXDownload
35Learning Decision Trees form Distributed Heterogeneous Autonomous Data. Doina Caragea, Adrian Silvescu, Vasant Honavar. MAICS 2003, 10-17. Web SearchBibTeX
2002
34Discovering Protein Function Classification Rules from Reduced Alphabet Representations of Protein Sequences. Carson M. Andorf, Drena Dobbs, Vasant Honavar. JCIS 2002, 1200-1206. Web SearchBibTeX
33Data-Driven Discovery of Protein Function Classifiers: Decision Trees Based on MEME Motifs outperform PROSITE Patterns and Profiles on Peptidase Families. Xiangyun Wang, Diane Schroeder, Drena Dobbs, Vasant Honavar. JCIS 2002, 1193-1199. Web SearchBibTeX
32Automated discovery of concise predictive rules for intrusion detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller. Journal of Systems and Software (60): 165-175 (2002). Web SearchBibTeXDownload
31A Software Fault Tree Approach to Requirements Analysis of an Intrusion Detection System. Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasant Honavar, Les Miller, Robyn R. Lutz. Requir. Eng. (7): 207-220 (2002). Web SearchBibTeXDownload
30Ontology-Driven Induction of Decision Trees at Multiple Levels of Abstraction. Jun Zhang, Adrian Silvescu, Vasant Honavar. SARA 2002, 316-323. Web SearchBibTeXDownload
2001
29Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources. Doina Caragea, Adrian Silvescu, Vasant Honavar. Emergent Neural Computational Architectures Based on Neuroscience 2001, 547-559. Web SearchBibTeXDownload
28Learn++: an incremental learning algorithm for supervised neural networks. Robi Polikar, L. Upda, S. S. Upda, Vasant Honavar. IEEE Transactions on Systems, Man, and Cybernetics, Part C (31): 497-508 (2001). Web SearchBibTeX
27SMART mobile agent facility. Johnny Wong, Guy G. Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant Honavar, Les Miller. Journal of Systems and Software (56): 9-22 (2001). Web SearchBibTeXDownload
26Autonomous agents for coordinated distributed parameterized heuristic routing in large dynamic communication networks. Armin R. Mikler, Vasant Honavar, Johnny S. Wong. Journal of Systems and Software (56): 231-246 (2001). Web SearchBibTeXDownload
25Gaining insights into support vector machine pattern classifiers using projection-based tour methods. Doina Caragea, Dianne Cook, Vasant Honavar. KDD 2001, 251-256. Web SearchBibTeXDownload
24Learning DFA from Simple Examples. Rajesh Parekh, Vasant Honavar. Machine Learning (44): 9-35 (2001). Web SearchBibTeX
2000
23Incremental and Distributed Learning with Support Vector Machines. Doina Caragea, Adrian Silvescu, Vasant Honavar. AAAI/IAAI 2000, 1067. Web SearchBibTeX
22On the Relationship between Models for Learning in Helpful Environments. Rajesh Parekh, Vasant Honavar. ICGI 2000, 207-220. Web SearchBibTeX
21Supporting organizational knowledge management with agents. Prashant Pai, Leslie L. Miller, Vasant Honavar, Johnny Wong, Sree Nilakanta. IRMA Conference 2000, 325-329. Web SearchBibTeX
20A Negotiation Model in Agent-mediated Electronic Commerce. Mokdong Chug, Vasant Honavar. ISMSE 2000, 403-410. Web SearchBibTeXDownload
1999
19Feature Selection Using a Genetic Algorithm for Intrusion Detection. Guy G. Helmer, Johnny S. Wong, Vasant Honavar, Les Miller. GECCO 1999, 1781. Web SearchBibTeX
18Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples. Rajesh Parekh, Vasant Honavar. ICML 1999, 298-306. Web SearchBibTeX
17Data-Driven Theory Refinement Using KBDistAl. Jihoon Yang, Rajesh Parekh, Vasant Honavar, Drena Dobbs. IDA 1999, 331-342. Web SearchBibTeXDownload
16A neural-network architecture for syntax analysis. Chun-Hsien Chen, Vasant Honavar. IEEE Transactions on Neural Networks (10): 94-114 (1999). Web SearchBibTeXDownload
15DistAl: An inter-pattern distance-based constructive learning algorithm. Jihoon Yang, Rajesh Parekh, Vasant Honavar. Intell. Data Anal. (3): 55-73 (1999). Web SearchBibTeXDownload
1998
14A Polynominal Time Incremental Algorithm for Learning DFA. Rajesh Parekh, Codrin M. Nichitiu, Vasant Honavar. ICGI 1998, 37-49. Web SearchBibTeXDownload
13Feature Subset Selection Using a Genetic Algorithm. Jihoon Yang, Vasant Honavar. IEEE Intelligent Systems (13): 44-49 (1998). Web SearchBibTeX
12An object oriented approach to simulating large communication networks. Armin R. Mikler, Johnny S. K. Wong, Vasant Honavar. Journal of Systems and Software (40): 151-164 (1998). Web SearchBibTeXDownload
1997
11Learning DFA from Simple Examples. Rajesh Parekh, Vasant Honavar. ALT 1997, 116-131. Web SearchBibTeX
10Quo Vadis - A Framework for Intelligent Routing in Large Communication Networks. Armin R. Mikler, Johnny S. Wong, Vasant Honavar. Journal of Systems and Software (37): 61-73 (1997). Web SearchBibTeX
1996
9Analysis of Utility-Theoretic Heuristics for Intelligent Adaptive Network Routing. Armin R. Mikler, Vasant Honavar, Johnny S. Wong. AAAI/IAAI, Vol. 1 1996, 96-101. Web SearchBibTeX
8An Incremental Interactive Algorithm for Regular Grammar Inference. Rajesh Parekh, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1397. Web SearchBibTeX
7Constructive Neural Network Learning Algorithms. Rajesh Parekh, Jihoon Yang, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1398. Web SearchBibTeX
6Experiments in Evolutionary Synthesis of Robotic Neurocontrollers. Karthik Balakrishnan, Vasant Honavar. AAAI/IAAI, Vol. 2 1996, 1378. Web SearchBibTeX
5An incremental interactive algorithm for grammar inference. Rajesh Parekh, Vasant Honavar. ICGI 1996, 238-249. Web SearchBibTeX
1995
4A Neural Architecture for Content as well as Address-based Storage and Recall: Theory and Applications. Chun-Hsien Chen, Vasant Honavar. Connect. Sci. (7): 281-300 (1995). Web SearchBibTeXDownload
1993
3Generative learning structures and processes for generalized connectionist networks. Vasant Honavar, Leonard Uhr. Inf. Sci. (70): 75-108 (1993). Web SearchBibTeXDownload
1992
2Neural Network Design and the Complexity of Learning (Book Review). Vasant Honavar. Machine Learning (9): 95-98 (1992). Web SearchBibTeX
1989
1Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks. Vasant Honavar, Leonard Uhr. IJCAI 1989, 180-185. Web SearchBibTeX
from DBLP and Google Scholar
References
1. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
2. ^ ICML Workshop - Retrieved 2009-11-21 - details
3. ^ Seminar Detail - Retrieved 2009-11-20 - details
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