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ECML
2006
Springer
15 years 1 months ago
Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
Corneliu Henegar, Karine Clément, Jean-Dani...
ER
2006
Springer
137views Database» more  ER 2006»
15 years 1 months ago
Preference Functional Dependencies for Managing Choices
Abstract. The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures...
Wilfred Ng
UAI
2001
14 years 11 months ago
Similarity Measures on Preference Structures, Part II: Utility Functions
In previous work [8] we presented a casebased approach to eliciting and reasoning with preferences. A key issue in this approach is the definition of similarity between user prefe...
Vu A. Ha, Peter Haddawy, John Miyamoto
CEC
2010
IEEE
14 years 11 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
14 years 11 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...