5302 search results - page 220 / 1061 » Learning How to Separate |
122
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CIG
2005
IEEE
15 years 10 months ago
2005
IEEE
In this paper, we show how our AI opponents learn internal representations of probabilities. We use a Bayesian interpretation of such subjectivist probabilities but do not impleme...
134
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AUSAI
2008
Springer
15 years 6 months ago
2008
Springer
In this paper the notion of a partial-order plan is extended to task-hierarchies. We introduce the concept of a partial-order taskhierarchy that decomposes a problem using multi-ta...
103
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IJCAI
2003
15 years 5 months ago
2003
This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
130
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CONNECTION
2006
15 years 4 months ago
2006
To be autonomous, intelligent robots must learn the foundations of commonsense knowledge from their own sensorimotor experience in the world. We describe four recent research resu...
132
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TCS
2010
15 years 2 months ago
2010
This paper concerns learning binary-valued functions defined on IR, and investigates how a particular type of ‘regularity’ of hypotheses can be used to obtain better generali...