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INFOCOM
2007
IEEE
14 years 1 months ago
Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks
—We introduce a novel approach to multi-hop routing in wireless networks. Instead of the usual graph description we characterize the network by the packet delivery ratio matrix w...
Alejandro Ribeiro, Georgios B. Giannakis, Zhi-Quan...
ICPR
2008
IEEE
14 years 8 months ago
Feature Fusion Hierarchies for gender classification
We present a hierarchical feature fusion model for image classification that is constructed by an evolutionary learning algorithm. The model has the ability to combine local patch...
Fabien Scalzo, George Bebis, Mircea Nicolescu, Lea...
IJCNN
2006
IEEE
14 years 1 months ago
Generalization Improvement in Multi-Objective Learning
— Several heuristic methods have been suggested for improving the generalization capability in neural network learning, most of which are concerned with a single-objective (SO) l...
Lars Gräning, Yaochu Jin, Bernhard Sendhoff
PKDD
2004
Springer
155views Data Mining» more  PKDD 2004»
14 years 29 days ago
Ensemble Feature Ranking
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
Kees Jong, Jérémie Mary, Antoine Cor...
SEAL
2010
Springer
13 years 5 months ago
Dominance-Based Pareto-Surrogate for Multi-Objective Optimization
Abstract. Mainstream surrogate approaches for multi-objective problems build one approximation for each objective. Mono-surrogate approaches instead aim at characterizing the Paret...
Ilya Loshchilov, Marc Schoenauer, Michèle S...