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CBMS
2005
IEEE
13 years 10 months ago
Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis
Inductive learning systems have been successfully applied in a number of medical domains. Nevertheless, the effective use of these systems requires data preprocessing before apply...
Mykola Pechenizkiy, Alexey Tsymbal, Seppo Puuronen
COLT
1998
Springer
14 years 25 days ago
Self Bounding Learning Algorithms
Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...
Yoav Freund
ICML
2010
IEEE
13 years 9 months ago
Bottom-Up Learning of Markov Network Structure
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
Jesse Davis, Pedro Domingos
AIMSA
2008
Springer
13 years 10 months ago
A Hybrid Approach to Distributed Constraint Satisfaction
We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
David Lee, Inés Arana, Hatem Ahriz, Kit-Yin...
ECML
2007
Springer
14 years 2 months ago
Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning
Knowledge representations using semantic web technologies often provide information which translates to explicit term and predicate taxonomies in relational learning. We show how t...
Monika Záková, Filip Zelezný