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NC
2006
132views Neural Networks» more  NC 2006»
15 years 16 days ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
HM
2007
Springer
135views Optimization» more  HM 2007»
15 years 6 months ago
Hybrid Local Search Techniques for the Resource-Constrained Project Scheduling Problem
This paper proposes a local search algorithm that makes use of a complex neighborhood relation based on a hybridization with a constructive heuristics for the classical resource-co...
Igor Pesek, Andrea Schaerf, Janez Zerovnik
110
Voted
CEC
2010
IEEE
15 years 24 days ago
Behavioral diversity measures for Evolutionary Robotics
Abstract— In Evolutionary Robotics (ER), explicitly rewarding for behavioral diversity recently revealed to generate efficient results without recourse to complex fitness funct...
Stéphane Doncieux, Jean-Baptiste Mouret
SIP
2007
15 years 2 months ago
Parameter estimation for linear AM/FM sinusoids using frequency domain demodulation
This article deals with the estimation of sinusoidal parameters for non stationary sinusoids. It will be shown that for linear amplitude and frequency modulation only the frequenc...
Axel Röbel
127
Voted
TAL
2010
Springer
14 years 11 months ago
Robust Semi-supervised and Ensemble-Based Methods in Word Sense Disambiguation
Mihalcea [1] discusses self-training and co-training in the context of word sense disambiguation and shows that parameter optimization on individual words was important to obtain g...
Anders Søgaard, Anders Johannsen