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CCECE
2009
IEEE
15 years 12 months ago
Cluster head selection using RF signal strength
The LEACH algorithm for selecting cluster heads is a probabilistic method which produces clusters with a large variation of link distances and uneven energy consumption during the...
Scott Fazackerley, Alan Paeth, Ramon Lawrence
ESTIMEDIA
2006
Springer
15 years 10 months ago
Neighbors-on-Path: A New Selection Strategy for On-Chip Networks
Efficient and deadlock-free routing is critical to the performance of networks-on-chip. In this paper we present an approach that can be coupled to any adaptive routing algorithm ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi,...
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 8 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
IJHIS
2008
84views more  IJHIS 2008»
15 years 6 months ago
Selective generation of training examples in active meta-learning
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
JMLR
2010
104views more  JMLR 2010»
15 years 1 months ago
Increasing Feature Selection Accuracy for L1 Regularized Linear Models
L1 (also referred to as the 1-norm or Lasso) penalty based formulations have been shown to be effective in problem domains when noisy features are present. However, the L1 penalty...
Abhishek Jaiantilal, Gregory Z. Grudic