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» Extremal Problems of Information Combining
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ISDA
2009
IEEE
14 years 3 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
IPPS
1999
IEEE
14 years 1 months ago
A Graph Based Method for Generating the Fiedler Vector of Irregular Problems
In this paper we present new algorithms for spectral graph partitioning. Previously, the best partitioning methods were based on a combination of Combinatorial algorithms and appli...
Michael Holzrichter, Suely Oliveira
ISDA
2008
IEEE
14 years 3 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris
ICCBR
1997
Springer
14 years 1 months ago
Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning
Realistic and complex planning situations require a mixed-initiative planning framework in which human and automated planners interact to mutually construct a desired plan. Ideally...
Michael T. Cox, Manuela M. Veloso
MC
2008
139views Computer Science» more  MC 2008»
13 years 10 months ago
Combining Web 2.0 and Collaboration Support Systems
In the current discussion of the impact Web 2.0 may have on CSCW and Groupware research, Web 2.0 applications are often considered to be a substitute for Collaboration Support Sys...
Michael Prilla, Carsten Ritterskamp