959 search results - page 69 / 192 » Modeling Sensorimotor Learning with Linear Dynamical Systems |
176
Voted
AH
2000
Springer
15 years 7 months ago
2000
Springer
The paper investigates the use of computational intelligence for adaptive lesson presentation in a Web-based learning environment. A specialized connectionist architecture is devel...
124
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CDC
2009
IEEE
15 years 8 months ago
2009
IEEE
— Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event syst...
119
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
132
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NIPS
1993
15 years 4 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
183
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AI
1998
Springer
15 years 3 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...