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» Generalization Improvement in Multi-Objective Learning
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ICPR
2002
IEEE
14 years 10 months ago
Comparative Study on Mirror Image Learning (MIL) and GLVQ
In this paper the effectiveness of a corrective learning algorithm MIL (Mirror Image Learning) [1], [2] is comparatively studied with that of GLVQ (Generalized Learning Vector Qua...
Meng Shi, Tetsushi Wakabayashi, Wataru Ohyama, Fum...
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 10 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
NIPS
1993
13 years 10 months ago
Surface Learning with Applications to Lipreading
Most connectionist research has focused on learning mappings from one space to another (eg. classification and regression). This paper introduces the more general task of learnin...
Christoph Bregler, Stephen M. Omohundro
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 7 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
HCI
2009
13 years 6 months ago
Long Term Repair of Learning Disability through Short-Term Reduction of CNS Inhibition
Learning disabilities are serious societal problems contributing to a loss of quality of life for affected individuals and their families. We hypothesized that the learning disabil...
H. Craig Heller, Damien Colas, Norman F. Ruby, Fab...