8970 search results - page 158 / 1794 » Learning to Learn Causal Models |
120
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TACAS
2007
Springer
15 years 10 months ago
2007
Springer
This paper is concerned with bridging the gap between requirements, provided as a set of scenarios, and conforming design models. The novel aspect of our approach is to exploit lea...
174
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ICRA
2010
IEEE
15 years 3 months ago
2010
IEEE
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
139
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ACL
1994
15 years 5 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
141
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ICCSA
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. The accurate prediction of Web navigation patterns has immense commercial value as the Web evolves into a primary medium for marketing and sales for many businesses. Ofte...
151
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CRV
2009
IEEE
15 years 11 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...