479 search results - page 68 / 96 » Learning to Improve both Efficiency and Quality of Planning |
137
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JMLR
2008
15 years 1 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
122
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VAMOS
2010
Springer
15 years 3 months ago
2010
Springer
Deriving products from a software product line is difficult, particularly when there are many constraints in the variability of the product line. Understanding the impact of variab...
200
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ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
A scalable video coder cannot be equally efficient over a wide range of bit-rates unless both the video data and the motion information are scalable. We propose a wavelet-based, h...
102
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ACL
2010
14 years 12 months ago
2010
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
109
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CADE
2006
Springer
16 years 2 months ago
2006
Springer
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...