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» A Methodology For Automatic Term Recognition
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115
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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
15 years 6 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
115
Voted
GECCO
2005
Springer
195views Optimization» more  GECCO 2005»
15 years 6 months ago
Evolutionary strategies for multi-scale radial basis function kernels in support vector machines
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
Tanasanee Phienthrakul, Boonserm Kijsirikul
126
Voted
GECCO
2005
Springer
218views Optimization» more  GECCO 2005»
15 years 6 months ago
Particle swarm optimization for analysis of mass spectral serum profiles
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...
Habtom W. Ressom, Rency S. Varghese, Daniel Saha, ...
98
Voted
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 6 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
102
Voted
IUI
2004
ACM
15 years 6 months ago
Exploiting emotions to disambiguate dialogue acts
This paper describes an attempt to reveal the user’s intention from dialogue acts, thereby improving the effectiveness of natural interfaces to pedagogical agents. It focuses o...
Wauter Bosma, Elisabeth André