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» Learning and Inference with Constraints
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ECML
2006
Springer
13 years 11 months ago
Right of Inference: Nearest Rectangle Learning Revisited
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
Byron J. Gao, Martin Ester
ALT
2006
Springer
14 years 4 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
ICML
2000
IEEE
14 years 8 months ago
Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
Franck Thollard, Pierre Dupont, Colin de la Higuer...
ACL
2010
13 years 5 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...
ICDE
2005
IEEE
120views Database» more  ICDE 2005»
14 years 8 months ago
Corpus-based Schema Matching
Schema Matching is the problem of identifying corresponding elements in different schemas. Discovering these correspondences or matches is inherently difficult to automate. Past s...
Jayant Madhavan, Philip A. Bernstein, AnHai Doan, ...