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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 28 days 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...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
16 years 28 days ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
HUC
2007
Springer
16 years 28 days ago
Rapidly Exploring Application Design Through Speed Dating
Abstract. While the user-centered design methods we bring from humancomputer interaction to ubicomp help sketch ideas and refine prototypes, few tools or techniques help explore di...
Scott Davidoff, Min Kyung Lee, Anind K. Dey, John ...
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ICANN
2007
Springer
16 years 28 days ago
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
Edmondo Trentin, Ernesto Di Iorio
IWINAC
2007
Springer
16 years 27 days ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino
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