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» Inference and Learning in Planning
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86
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ALT
2006
Springer
15 years 6 months ago
The Complexity of Learning SUBSEQ (A)
Higman showed that if A is any language then SUBSEQ(A) is regular, where SUBSEQ(A) is the language of all subsequences of strings in A. We consider the following inductive inferenc...
Stephen A. Fenner, William I. Gasarch
AIPS
2006
14 years 11 months ago
Lessons Learned in Applying Domain-Independent Planning to High-Speed Manufacturing
Much has been made of the need for academic planning research to orient towards real-world applications. In this paper, we relate our experience in adapting domain-independent pla...
Minh Binh Do, Wheeler Ruml
61
Voted
CI
2005
73views more  CI 2005»
14 years 9 months ago
Learning Preconditions for Planning from Plan Traces and HTN Structure
Okhtay Ilghami, Dana S. Nau, Héctor Mu&ntil...
ICML
2000
IEEE
15 years 10 months ago
Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
Franck Thollard, Pierre Dupont, Colin de la Higuer...
ACL
2010
14 years 7 months ago
Learning Better Data Representation Using Inference-Driven Metric Learning
We initiate a study comparing effectiveness of the transformed spaces learned by recently proposed supervised, and semisupervised metric learning algorithms to those generated by ...
Paramveer S. Dhillon, Partha Pratim Talukdar, Koby...