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HIS
2007
15 years 1 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
15 years 4 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
15 years 5 months 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»
14 years 11 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»
14 years 11 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