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WCE
2007
15 years 7 months ago
Building Time Series Forecasting Model By Independent Component Analysis Mechanism
—Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional A...
Jin-Cherng Lin, Yung-Hsin Li, Cheng-Hsiung Liu
CIBCB
2009
IEEE
15 years 7 months ago
Steady-state analysis of genetic regulatory networks modeled by nonlinear ordinary differential equations
Although Ordinary Differential Equations (ODEs) have been used to model Genetic Regulatory Networks (GRNs) in many previous works, their steady-state behaviors are not well studied...
Haixin Wang, Lijun Qian, Edward R. Dougherty
ALT
2004
Springer
16 years 3 months ago
Hidden Markov Modelling Techniques for Haplotype Analysis
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pas...
CONTEXT
2007
Springer
16 years 14 days ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
ESANN
2006
15 years 7 months ago
A Gaussian process latent variable model formulation of canonical correlation analysis
Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
Gayle Leen, Colin Fyfe