777 search results - page 81 / 156 » Learning dynamic algorithm portfolios |
161
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IROS
2009
IEEE
15 years 9 months ago
2009
IEEE
— Programming a humanoid robot to perform an action that takes the robot’s complex dynamics into account is a challenging problem. Traditional approaches typically require high...
117
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ECAI
2004
Springer
15 years 8 months ago
2004
Springer
The paper addresses the question whether it is possible for a machine to learn to distinguish and recognise famous musicians (concert pianists), based on their style of playing. We...
109
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ECML
2006
Springer
15 years 6 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
117
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ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
The hierarchical Dirichlet process hidden Markov model (HDP-HMM) is a flexible, nonparametric model which allows state spaces of unknown size to be learned from data. We demonstra...
133
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AAAI
2012
13 years 5 months ago
2012
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...