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LWA
2008
13 years 9 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz
EOR
2007
79views more  EOR 2007»
13 years 7 months ago
Consensus reaching in committees
In this paper, we apply a consensus model to decision-making in committees that have to choose one or more alternatives from a set of alternatives. The model does not use a voting...
Patrik Eklund, Agnieszka Rusinowska, Harrie C. M. ...
IJCNN
2007
IEEE
14 years 1 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
ACSC
2005
IEEE
14 years 1 months ago
The Electronic Primaries: Predicting the U.S. Presidency Using Feature Selection with Safe Data Reduction
The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 2 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...