8970 search results - page 177 / 1794 » Learning to Learn Causal Models |
162
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IROS
2009
IEEE
15 years 11 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
186
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FLAIRS
2008
15 years 7 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
111
Voted
GECCO
2005
Springer
15 years 10 months ago
2005
Springer
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
138
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ISMIR
2004
Springer
15 years 10 months ago
2004
Springer
In this paper we evaluate two methods for key estimation from polyphonic audio recordings. Our goal is to compare between a strategy using a cognition-inspired model and several m...
132
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ECTEL
2008
Springer
15 years 6 months ago
2008
Springer
The main purpose behind the design of this experience is the idea of obtaining useful information to know how the online courses in our University have been developed, and trying t...