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» Learning Rules and Their Exceptions
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DAGSTUHL
2007
14 years 11 months ago
Learning Probabilistic Relational Dynamics for Multiple Tasks
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer...
AIPS
2010
14 years 9 months ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon
63
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COLING
2010
14 years 4 months ago
Two Methods for Extending Hierarchical Rules from the Bilingual Chart Parsing
This paper studies two methods for training hierarchical MT rules independently of word alignments. Bilingual chart parsing and EM algorithm are used to train bitext correspondenc...
Martin Cmejrek, Bowen Zhou
IJCAI
1993
14 years 11 months ago
An Inductive Approach to Learning Search Control Rules for Planning
One method for reducing the time required for plan generation is to learn search control rules from experience. Most of the recent work in learning search control knowledge has co...
Christopher Leckie, Ingrid Zukerman
ICML
2004
IEEE
15 years 3 months ago
Towards tight bounds for rule learning
While there is a lot of empirical evidence showing that traditional rule learning approaches work well in practice, it is nearly impossible to derive analytical results about thei...
Ulrich Rückert, Stefan Kramer