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HIS
2007
13 years 8 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
DIS
2001
Springer
13 years 12 months ago
Functional Trees
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
Joao Gama
SAC
2005
ACM
14 years 28 days ago
Dynamic group communication in mobile peer-to-peer environments
This paper presents an approach to integrate publish/subscribe semantics with on-demand multicast in wireless ad hoc networks, providing dynamic group communication with fine-gra...
Eiko Yoneki, Jean Bacon
BMCBI
2008
135views more  BMCBI 2008»
13 years 7 months ago
Knowledge-guided multi-scale independent component analysis for biomarker identification
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...
TJS
2002
118views more  TJS 2002»
13 years 7 months ago
The MAGNeT Toolkit: Design, Implementation and Evaluation
Abstract-The current trend in constructing high-performance computing systems is to connect a large number of machines via a fast interconnect or a large-scale network such as the ...
Wu-chun Feng, Mark K. Gardner, Jeffrey R. Hay