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Richard K. Belew
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- affiliation: University of California, San Diego, USA
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2010 – 2019
- 2017
- [j22]Richard K. Belew:
Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Leasrn about Documents. SIGIR Forum 51(2): 106-115 (2017) - 2016
- [j21]Richard K. Belew, Stefano Forli, David S. Goodsell, T. J. O'Donnell, Arthur J. Olson:
Fragment-Based Analysis of Ligand Dockings Improves Classification of Actives. J. Chem. Inf. Model. 56(8): 1597-1607 (2016)
2000 – 2009
- 2009
- [j20]Garrett M. Morris
, Ruth Huey, William Lindstrom, Michel F. Sanner, Richard K. Belew, David S. Goodsell, Arthur J. Olson:
AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J. Comput. Chem. 30(16): 2785-2791 (2009) - 2008
- [j19]Max W. Chang
Empirical entropic contributions in computational docking: Evaluation in APS reductase complexes. J. Comput. Chem. 29(11): 1753-1761 (2008) - 2007
- [j18]Max W. Chang
Analysis of HIV Wild-Type and Mutant Structures via in Silico Docking against Diverse Ligand Libraries. J. Chem. Inf. Model. 47(3): 1258-1262 (2007) - 2005
- [i1]Richard K. Belew:
Scientific impact quantity and quality: Analysis of two sources of bibliographic data. CoRR abs/cs/0504036 (2005) - 2000
- [j17]Craig Mautner, Richard K. Belew:
Evolving robot morphology and control. Artif. Life Robotics 4(3): 130-136 (2000) - [j16]Filippo Menczer
Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the Web. Mach. Learn. 39(2/3): 203-242 (2000)
1990 – 1999
- 1998
- [j15]Christopher D. Rosin, Richard K. Belew, Garrett M. Morris
Computational Coevolution of Antiviral Drug Resistance. Artif. Life 4(1): 41-59 (1998) - [j14]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Optimizing Similarity Using Multi-Query Relevance Feedback. J. Am. Soc. Inf. Sci. 49(8): 742-761 (1998) - [j13]Garrett M. Morris, David S. Goodsell, Robert S. Halliday, Ruth Huey, William E. Hart, Richard K. Belew, Arthur J. Olson:
Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function. J. Comput. Chem. 19(14): 1639-1662 (1998) - [c25]Filippo Menczer
Adaptive Information Agents in Distributed Textual Environments. Agents 1998: 157-164 - [c24]Filippo Menczer, Richard K. Belew:
Local Selection. Evolutionary Programming 1998: 703-712 - [c23]Thomas E. Kammeyer, Richard K. Belew:
An Empirical Investigation of an Evolutionary Algorithm's Ability to Maintain a Known Good Solution. Evolutionary Programming 1998: 767-776 - 1997
- [j12]Christopher D. Rosin, Richard K. Belew:
New Methods for Competitive Coevolution. Evol. Comput. 5(1): 1-29 (1997) - [c22]Christopher D. Rosin, R. Scott Halliday, William E. Hart, Richard K. Belew:
A Comparison of Global and Local Search Methods in Drug Docking. ICGA 1997: 221-229 - [c21]Mark Land, John J. SIDorowich, Richard K. Belew:
Using Genetic Algorithms with Local Search for Thin Film Metrology. ICGA 1997: 537-544 - [e2]Richard K. Belew, Michael D. Vose:
Proceedings of the 4th Workshop on Foundations of Genetic Algorithms. San Diego, CA, USA, August 5 1996. Morgan Kaufmann 1997, ISBN 1-55860-460-X [contents] - 1996
- [j11]Filippo Menczer, Richard K. Belew:
From Complex Environments to Complex Behaviors. Adapt. Behav. 4(3-4): 317-363 (1996) - [j10]Richard K. Belew:
Developments Across the Internalist/Externalist Dichotomy. Adapt. Behav. 4(3-4): 483-485 (1996) - [c20]Christopher D. Rosin, Richard K. Belew:
A Competitive Approach to Game Learning. COLT 1996: 292-302 - [c19]Thomas E. Kammeyer, Richard K. Belew:
Stochastic Context-Free Grammar Induction with a Genetic Algorithm Using Local Search. FOGA 1996: 409-436 - [c18]William E. Hart, Scott B. Baden, Richard K. Belew, Scott R. Kohn:
Analysis of the Numerical Effects of Parallelism on a Parallel Genetic Algorithm. IPPS 1996: 606-612 - [c17]Christopher C. Vogt, Garrison W. Cottrell, Richard K. Belew, Brian T. Bartell:
Using Relevance to Train a Linear Mixture of Experts. TREC 1996 - 1995
- [j9]Federico Cecconi, Filippo Menczer, Richard K. Belew:
Maturation and the Evolution of Imitative Learning in Artificial Organisms. Adapt. Behav. 4(1): 29-50 (1995) - [j8]Thomas E. Kammeyer, Richard K. Belew, S. G. Williamson:
Evolving Compare-Exchange Networks Using Grammars. Artif. Life 2(2): 199-237 (1995) - [j7]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Representing Documents Using an Explicit Model of Their Similarities. J. Am. Soc. Inf. Sci. 46(4): 254-271 (1995) - [c16]Mark Land, Richard K. Belew:
Towards a Self-Replicating Language for Computation. Evolutionary Programming 1995: 403-413 - [c15]Christopher D. Rosin, Richard K. Belew:
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating. ICGA 1995: 373-381 - 1994
- [c14]Amy M. Steier, Richard K. Belew:
Talking About AI: Socially Defined Linguistic Subcontexts in AI. AAAI 1994: 715-720 - [c13]Thomas E. Kammeyer, Richard K. Belew:
Learning Sorting Networks By Grammars. AAAI 1994: 1466 - [c12]William E. Hart, Thomas E. Kammeyer, Richard K. Belew:
The Role of Development in Genetic Algorithms. FOGA 1994: 315-332 - [c11]Brian T. Bartell, Garrison W. Cottrell
Automatic Combination of Multiple Ranked Retrieval Systems. SIGIR 1994: 173-181 - 1993
- [j6]Richard K. Belew:
Mark A. Gluck and David E. Rumelhart, eds., Neuroscience and Connectionist Theory. Artif. Intell. 62(1): 153-161 (1993) - [c10]Richard K. Belew, Thomas E. Kammeyer:
Evolving Aesthetic Sorting Networks Using Developmental Grammars. ICGA 1993: 629 - 1992
- [j5]Nicol N. Schraudolph, Richard K. Belew:
Dynamic Parameter Encoding for Genetic Algorithms. Mach. Learn. 9: 9-21 (1992) - [c9]Richard K. Belew:
Interposing an Ontogenetic Model Between Genetic Algorithms and Neural Networks. NIPS 1992: 99-106 - [c8]Brian T. Bartell, Garrison W. Cottrell
Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling. SIGIR 1992: 161-167 - 1991
- [j4]Richard K. Belew:
Artificial Life: A Constructive Lower Bound for Artificial Intelligence. IEEE Expert 6(1): 8-15 (1991) - [j3]Daniel E. Rose, Richard K. Belew:
A Connectionist and Symbolic Hybrid for Improving Legal Research. Int. J. Man Mach. Stud. 35(1): 1-33 (1991) - [c7]William E. Hart, Richard K. Belew:
Optimising an Arbitrary Function is Hard for the Genetic Algorithm. ICGA 1991: 190-195 - [e1]Richard K. Belew, Lashon B. Booker:
Proceedings of the 4th International Conference on Genetic Algorithms, San Diego, CA, USA, July 1991. Morgan Kaufmann 1991, ISBN 1-55860-208-9 [contents] - 1990
- [j2]Richard K. Belew:
Evolution, Learning, and Culture: Computational Metaphors for Adaptive Algorithms. Complex Syst. 4(1) (1990) - [c6]Richard K. Belew, J. Rentzepis:
HyperMail: treating electronic mail as literature. COCS 1990: 48-54
1980 – 1989
- 1989
- [c5]Daniel E. Rose, Richard K. Belew:
Legal Information Retrieval a Hybrid Approach. ICAIL 1989: 138-146 - [c4]Richard K. Belew:
When Both Individuals and Populations Search: Adding Simple Learning to the Genetic Algorithm. ICGA 1989: 34-41 - [c3]Richard K. Belew, Michael Gherrity:
Back Propagation for the Classifier System. ICGA 1989: 275-281 - [c2]Richard K. Belew:
Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn About Documents. SIGIR 1989: 11-20 - 1988
- [j1]Richard K. Belew, Stephanie Forrest
Learning and Programming in Classifier Systems. Mach. Learn. 3: 193-223 (1988) - 1987
- [c1]Richard K. Belew:
A Connectionist Approach to Conceptual Information Retrieval. ICAIL 1987: 116-126 - 1986
- [b1]Richard K. Belew:
Adaptive Information Retrieval: Machine Learning in Associative Networks (Connectionist, Free-Text, Browsing, Feedback). University of Michigan, USA, 1986
Coauthor Index
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