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FUIN
2002
108views more  FUIN 2002»
13 years 7 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak
UMUAI
1998
128views more  UMUAI 1998»
13 years 7 months ago
Using Decision Trees for Agent Modeling: Improving Prediction Performance
A modeling system may be required to predict an agent’s future actions under constraints of inadequate or contradictory relevant historical evidence. This can result in low predi...
Bark Cheung Chiu, Geoffrey I. Webb
KBS
2008
98views more  KBS 2008»
13 years 5 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
FOIKS
2008
Springer
13 years 9 months ago
SIM-PDT: A Similarity Based Possibilistic Decision Tree Approach
This paper investigates an extension of classification trees to deal with uncertain information where uncertainty is encoded in possibility theory framework. Class labels in data s...
Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat, Zi...
EPIA
2003
Springer
14 years 18 days ago
Automatic Selection of Table Areas in Documents for Information Extraction
: information contained in companies’ financial statements is valuable for decision making at various levels. Much of the relevant information in such documents is contained in t...
Ana Costa e Silva, Alípio Jorge, Luí...