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ECAI
2000
Springer
14 years 25 days ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
DOCENG
2004
ACM
14 years 1 months ago
Supervised learning for the legacy document conversion
We consider the problem of document conversion from the renderingoriented HTML markup into a semantic-oriented XML annotation defined by user-specific DTDs or XML Schema descrip...
Boris Chidlovskii, Jérôme Fuselier
SPIN
2007
Springer
14 years 2 months ago
Generating Counter-Examples Through Randomized Guided Search
Abstract. Computational resources are increasing rapidly with the explosion of multi-core processors readily available from major vendors. Model checking needs to harness these res...
Neha Rungta, Eric G. Mercer
ICPR
2008
IEEE
14 years 9 months ago
Supervised learning of a generative model for edge-weighted graphs
This paper addresses the problem of learning archetypal structural models from examples. To this end we define a generative model for graphs where the distribution of observed nod...
Andrea Torsello, David L. Dowe
LFCS
1992
Springer
14 years 16 days ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...