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» A new evolutionary method for time series forecasting
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COMPLIFE
2006
Springer
13 years 11 months ago
Set-Oriented Dimension Reduction: Localizing Principal Component Analysis Via Hidden Markov Models
We present a method for simultaneous dimension reduction and metastability analysis of high dimensional time series. The approach is based on the combination of hidden Markov model...
Illia Horenko, Johannes Schmidt-Ehrenberg, Christo...
WSC
2007
13 years 10 months ago
Modeling and simulation for customer driven manufacturing system design and operations planning
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key elem...
Juhani Heilala, Jari Montonen, Arttu Salmela, Pasi...
APGV
2004
ACM
176views Visualization» more  APGV 2004»
14 years 1 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...
GECCO
2004
Springer
139views Optimization» more  GECCO 2004»
14 years 1 months ago
Chemical Genetic Programming - Coevolution Between Genotypic Strings and Phenotypic Trees
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings ...
Wojciech Piaseczny, Hideaki Suzuki, Hidefumi Sawai
TSP
2010
13 years 2 months ago
Estimation of ambiguity functions with limited spread
This paper proposes a new estimation procedure for the ambiguity function of a non-stationary time series. The stochastic properties of the empirical ambiguity function calculated...
Heidi Hindberg, Sofia C. Olhede