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Asim Roy
2010 – today
- 2011
[j13]Patrick D. Mackin, Asim Roy, Jyrki Wallenius: An interactive weight space reduction procedure for nonlinear multiple objective mathematical programming. Math. Program. 127(2): 425-444 (2011)
[c10]Asim Roy: A theory of the brain - the brain uses both distributed and localist (symbolic) representation. IJCNN 2011: 215-221- 2010
[j12]Seiichi Ozawa, Toshihisa Tabuchi, Sho Nakasaka, Asim Roy: An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks. JILSA 2(4): 179-189 (2010)
[c9]Seiichi Ozawa, Sho Nakasaka, Asim Roy: An autonomous incremental learning algorithm of Resource Allocating Network for online pattern recognition. IJCNN 2010: 1-8
[c8]
[c7]Asim Roy: On NSF "open questions, " some external properties of the brain as a learning system and an architecture for autonomous learning. IJCNN 2010: 1-8
2000 – 2009
- 2009
[j11]Seiichi Ozawa, Asim Roy, Dmitri Roussinov: A Multitask Learning Model for Online Pattern Recognition. IEEE Transactions on Neural Networks 20(3): 430-445 (2009)
[c6]Toshihisa Tabuchi, Seiichi Ozawa, Asim Roy: An Autonomous Learning Algorithm of Resource Allocating Network. IDEAL 2009: 134-141- 2008
[j10]Asim Roy, Patrick D. Mackin, Jyrki Wallenius, James Corner, Mark Keith, Gregory Schymik, Hina Arora: An Interactive Search Method Based on User Preferences. Decision Analysis 5(4): 203-229 (2008)
[c5]Seiichi Ozawa, Asim Roy: Incremental Learning for Multitask Pattern Recognition Problems. ICMLA 2008: 747-751
[c4]Hitoshi Nishikawa, Seiichi Ozawa, Asim Roy: A Neural Network Model for Sequential Multitask Pattern Recognition Problems. ICONIP (1) 2008: 821-828- 2002
[c3]- 2000
[j9]Asim Roy: Artificial Neural Networks - A Science in Trouble . SIGKDD Explorations 1(2): 33-38 (2000)
[j8]Asim Roy: On connectionism, rule extraction, and brain-like learning. IEEE T. Fuzzy Systems 8(2): 222-227 (2000)
[c2]Asim Roy: A Theory of the Brain: There Are Parts of the Brain That Control Other Parts. IJCNN (2) 2000: 81-86
1990 – 1999
- 1997
[j7]Asim Roy, Somnath Mukhopadhyay: Iterative generation of higher-order nets in polynomial time using linear programming. IEEE Trans. Neural Netw. Learning Syst. 8(2): 402-412 (1997)
[j6]Asim Roy, Sandeep Govil, Raymond Miranda: A neural-network learning theory and a polynomial time RBF algorithm. IEEE Trans. Neural Netw. Learning Syst. 8(6): 1301-1313 (1997)- 1996
[c1]Leo G. Kroon, Arunabha Sen, Haiyong Deng, Asim Roy: The Optimal Cost Chromatic Partition Problem for Trees and Interval Graphs. WG 1996: 279-292- 1995
[j5]Asim Roy, Sandeep Govil, Raymond Miranda: An algorithm to generate radial basis function (RBF)-like nets for classification problems. Neural Networks 8(2): 179-201 (1995)- 1993
[j4]Somnath Mukhopadhyay, Asim Roy, Lark Sang Kim, Sandeep Govil: A Polynomial Time Algorithm for Generating Neural Networks for Pattern Classification: Its Stability Properties and Some Test Results. Neural Computation 5(2): 317-330 (1993)
[j3]Asim Roy, Lark Sang Kim, Somnath Mukhopadhyay: A polynomial time algorithm for the construction and training of a class of multilayer perceptrons. Neural Networks 6(4): 535-545 (1993)- 1992
[j2]Asim Roy, Jyrki Wallenius: Nonlinear multiple objective optimization: An algorithm and some theory. Math. Program. 55: 235-249 (1992)- 1991
[j1]Asim Roy, Somnath Mukhopadhyay: Pattern Classification Using Linear Programming. INFORMS Journal on Computing 3(1): 66-80 (1991)
Coauthor Index
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last updated on 2013-05-15 21:57 CEST by the dblp team



