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JALC
2006
133views more  JALC 2006»
15 years 6 months ago
Power and Efficiency of Minimal Parallelism in Polarizationless P Systems
Minimal parallelism was recently introduced [3] as a way of using the rules of a P system: from each set of applicable rules associated to a membrane, at least one rule must be ap...
Tseren-Onolt Ishdorj
ILP
1999
Springer
15 years 10 months ago
Rule Evaluation Measures: A Unifying View
Numerous measures are used for performance evaluation in machine learning. In predictive knowledge discovery, the most frequently used measure is classification accuracy. With new...
Nada Lavrac, Peter A. Flach, Blaz Zupan
JCST
2008
114views more  JCST 2008»
15 years 6 months ago
Synthesizing Service Composition Models on the Basis of Temporal Business Rules
Transformational approaches to generating design and implementation models from requirements can bring effectiveness and quality to software development. In this paper we present a...
Jian Yu, Yanbo Han, Jun Han, Yan Jin, Paolo Falcar...
122
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PR
2006
80views more  PR 2006»
15 years 6 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
AMC
2008
87views more  AMC 2008»
15 years 6 months ago
Mining classification rules with Reduced MEPAR-miner Algorithm
In this study, a new classification technique based on rough set theory and MEPAR-miner algorithm for association rule mining is introduced. Proposed method is called as `Reduced ...
Emel Kizilkaya Aydogan, Cevriye Gencer