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» A theory of learning from different domains
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IJCAI
2003
14 years 11 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
ICML
2007
IEEE
15 years 10 months ago
Learning to combine distances for complex representations
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
Adam Woznica, Alexandros Kalousis, Melanie Hilario
ICDM
2009
IEEE
165views Data Mining» more  ICDM 2009»
15 years 4 months ago
Cross-Guided Clustering: Transfer of Relevant Supervision across Domains for Improved Clustering
—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
ECIR
2004
Springer
14 years 11 months ago
Answer Selection in a Multi-stream Open Domain Question Answering System
Abstract. Question answering systems aim to meet users' information needs by returning exact answers in response to a question. Traditional open domain question answering syst...
Valentin Jijkoun, Maarten de Rijke
ML
2000
ACM
14 years 9 months ago
Maximizing Theory Accuracy Through Selective Reinterpretation
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...
Shlomo Argamon-Engelson, Moshe Koppel, Hillel Walt...