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ICTAI
1993
IEEE
15 years 7 months ago
Robust Feature Selection Algorithms
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
Haleh Vafaie, Kenneth DeJong
BMCBI
2008
130views more  BMCBI 2008»
15 years 3 months ago
Function approximation approach to the inference of reduced NGnet models of genetic networks
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
Shuhei Kimura, Katsuki Sonoda, Soichiro Yamane, Hi...
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
15 years 7 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
151
Voted
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 3 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
EUROPAR
2011
Springer
14 years 2 months ago
Model-Driven Tile Size Selection for DOACROSS Loops on GPUs
DOALL loops are tiled to exploit DOALL parallelism and data locality on GPUs. In contrast, due to loop-carried dependences, DOACROSS loops must be skewed first in order to make ti...
Peng Di, Jingling Xue