360 search results - page 18 / 72 » Combining Learned Discrete and Continuous Action Models |
78
Voted
NIPS
2003
15 years 1 months ago
2003
We present a connectionist architecture that can learn a model of the relations between perceptions and actions and use this model for behavior planning. State representations are...
EVOW
2009
Springer
15 years 6 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
101
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CEC
2003
IEEE
15 years 3 months ago
2003
IEEE
- As an alternative to traditional Evolutionary Algorithms (EAs), Population-Based Incremental Learning (PBIL) maintains a probabilistic model of the best individual(s). Originally...
103
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JMLR
2010
14 years 6 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
IBPRIA
2007
Springer
15 years 5 months ago
2007
Springer
This paper describes an experimental study about a robust contour feature (shape-context) for using in action recognition based on continuous hidden Markov models (HMM). We ran dif...