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» Inference and Learning in Planning
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AAAI
2011
13 years 9 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
55
Voted
ICML
2009
IEEE
15 years 10 months ago
Regression by dependence minimization and its application to causal inference in additive noise models
Bernhard Schölkopf, Dominik Janzing, Jonas Pe...
65
Voted
ICML
2006
IEEE
15 years 10 months ago
Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture
Eric P. Xing, Kyung-Ah Sohn, Michael I. Jordan, Ye...
ICGI
2004
Springer
15 years 3 months ago
The Omphalos Context-Free Grammar Learning Competition
This paper describes the Omphalos Context-Free Grammar Learning Competition held as part of the International Colloquium on Grammatical Inference 2004. The competition was created ...
Bradford Starkie, François Coste, Menno van...
JAIR
2007
114views more  JAIR 2007»
14 years 9 months ago
Marvin: A Heuristic Search Planner with Online Macro-Action Learning
This paper describes Marvin, a planner that competed in the Fourth International Planning Competition (IPC 4). Marvin uses action-sequence-memoisation techniques to generate macro...
Andrew Coles, Kate A. Smith