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HIS
2008
14 years 11 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
ECML
2007
Springer
15 years 4 months ago
Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
Xiao-Lin Li, Zhi-Hua Zhou
FUZZIEEE
2007
IEEE
15 years 4 months ago
An On-Line Fuzzy Predictor from Real-Time Data
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
Chih-Ching Hsiao, Shun-Feng Su
DATE
2009
IEEE
150views Hardware» more  DATE 2009»
15 years 4 months ago
A co-design approach for embedded system modeling and code generation with UML and MARTE
—In this paper we propose a UML/MDA approach, called MoPCoM methodology, to design high quality real-time embedded systems. We have defined a set of rules to build UML models fo...
Jorgiano Vidal, Florent de Lamotte, Guy Gogniat, P...
ICDIM
2007
IEEE
15 years 4 months ago
Pattern-based decision tree construction
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...