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CIKM
2007
Springer
14 years 4 months ago
Structure and semantics for expressive text kernels
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
Stephan Bloehdorn, Alessandro Moschitti
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 4 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 11 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
IJMMS
2000
85views more  IJMMS 2000»
13 years 10 months ago
Ontology-driven document enrichment: principles, tools and applications
In this paper we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent...
Enrico Motta, Simon Buckingham Shum, John Domingue
GECCO
2006
Springer
201views Optimization» more  GECCO 2006»
14 years 1 months ago
Selective self-adaptive approach to ant system for solving unit commitment problem
This paper presents a novel approach to solve the constrained unit commitment problem using Selective Self-Adaptive Ant System (SSAS) for improving search performance by automatic...
Songsak Chusanapiputt, Dulyatat Nualhong, Sujate J...