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GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
14 years 3 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria
CEC
2003
IEEE
14 years 2 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds
EMO
2009
Springer
181views Optimization» more  EMO 2009»
14 years 1 months ago
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison
Particle Swarm Optimization (PSO) has received increased attention in the optimization research community since its first appearance. Regarding multi-objective optimization, a con...
Juan José Durillo, José Garcí...
TKDE
2008
195views more  TKDE 2008»
13 years 9 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
ISBI
2008
IEEE
14 years 9 months ago
Multi-resolution parallel integral projection for fast localization of a straight electrode in 3D ultrasound images
We address the problem of fast and accurate localization of miniature surgical instruments like needles or electrodes using 3D ultrasound (US). An algorithm based on maximizing a ...
Christian Cachard, Hervé Liebgott, Jan Kybi...