2103 search results - page 234 / 421 » Approximate Learning of Dynamic Models |
162
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CIA
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
180
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NIPS
2001
15 years 7 months ago
2001
We present a new approach to the supervised learning of lateral interactions for the competitive layer model (CLM) dynamic feature binding architecture. The method is based on con...
163
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SAC
2009
ACM
16 years 1 months ago
2009
ACM
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
186
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ECAL
2001
Springer
15 years 10 months ago
2001
Springer
Reinforcement learning (RL) is a fundamental process by which organisms learn to achieve a goal from interactions with the environment. Using Artificial Life techniques we derive ...
145
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ECTEL
2007
Springer
16 years 15 days ago
2007
Springer
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...