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» An Algorithm for Induction of Decision Rules Consistent with...
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MLDM
2005
Springer
13 years 10 months ago
Multivariate Discretization by Recursive Supervised Bipartition of Graph
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...
Sylvain Ferrandiz, Marc Boullé
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 9 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ECML
2005
Springer
13 years 10 months ago
A Distance-Based Approach for Action Recommendation
Abstract. Rule induction has attracted a great deal of attention in Machine Learning and Data Mining. However, generating rules is not an end in itself because their applicability ...
Ronan Trepos, Ansaf Salleb, Marie-Odile Cordier, V...
IJCAI
2007
13 years 6 months ago
Occam's Razor Just Got Sharper
Occam’s razor is the principle that, given two hypotheses consistent with the observed data, the simpler one should be preferred. Many machine learning algorithms follow this pr...
Saher Esmeir, Shaul Markovitch
EDBT
2000
ACM
13 years 8 months ago
Mining Classification Rules from Datasets with Large Number of Many-Valued Attributes
Decision tree induction algorithms scale well to large datasets for their univariate and divide-and-conquer approach. However, they may fail in discovering effective knowledge when...
Giovanni Giuffrida, Wesley W. Chu, Dominique M. Ha...