479 search results - page 68 / 96 » Learning to Improve both Efficiency and Quality of Planning |
JMLR
2008
13 years 9 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...
VAMOS
2010
Springer
13 years 10 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...
ICIP
2003
IEEE
14 years 10 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...
ACL
2010
13 years 7 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...
CADE
2006
Springer
14 years 9 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...