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» A Novel Hybrid Neural Network for Data Clustering
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SSPR
2004
Springer
15 years 5 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
ISNN
2007
Springer
15 years 6 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
PERCOM
2009
ACM
16 years 13 days ago
High Accuracy Context Recovery using Clustering Mechanisms
This paper examines the recovery of user context in indoor environments with existing wireless infrastructures to enable assistive systems. We present a novel approach to the extra...
Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venka...
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 6 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
CLUSTER
2009
IEEE
15 years 4 months ago
A scalable and generic task scheduling system for communication libraries
Abstract—Since the advent of multi-core processors, the physionomy of typical clusters has dramatically evolved. This new massively multi-core era is a major change in architectu...
François Trahay, Alexandre Denis