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ATAL
2011
Springer
13 years 10 months ago
Incentive design for adaptive agents
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
IJCNN
2006
IEEE
15 years 4 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
CGP visits the Santa Fe trail: effects of heuristics on GP
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Cezary Z. Janikow, Christopher J. Mann
ICPR
2008
IEEE
15 years 11 months ago
Kernel oriented discriminant analysis for speaker-independent phoneme spaces
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Ch...
IV
1999
IEEE
91views Visualization» more  IV 1999»
15 years 2 months ago
Triangle Mesh Compression for Fast Rendering
Modern GIS(Geographic Information System) application programs and simulation systems have to handle large datasets for rendering. Currently three dimensional rendering hardware a...
Dong-Gyu Park, Yang-Soo Kim, Hwan-Gue Cho