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EUSFLAT
2007
126views Fuzzy Logic» more  EUSFLAT 2007»
13 years 8 months ago
Selecting the Optimal Rule Set Using a Bacterial Evolutionary Algorithm
In many regression learning algorithms for fuzzy rule bases it is not possible to define the error measure to be optimized freely. A possible alternative is the usage of global o...
Mario Drobics, János Botzheim, Klaus-Peter ...
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 26 days ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
ICFP
2010
ACM
13 years 8 months ago
Total parser combinators
A monadic parser combinator library which guarantees termination of parsing, while still allowing many forms of left recursion, is described. The library's interface is simil...
Nils Anders Danielsson
AHS
2007
IEEE
253views Hardware» more  AHS 2007»
14 years 1 months ago
evolFIR: Evolving redundancy-free FIR structures
Finite impulse response (FIR) structures are the most commonly used digital filters and can be found in various areas of everyday life. In this paper we introduce a novel approac...
Szilvia Zvada, Gabriella Kókai, Róbe...
DATAMINE
2002
125views more  DATAMINE 2002»
13 years 7 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...