57 search results - page 4 / 12 » Kernel Predictive Linear Gaussian models for nonlinear stoch... |
BMCBI
2007
13 years 7 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
HYBRID
2007
Springer
14 years 1 months ago
2007
Springer
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
ISIPTA
2003
IEEE
14 years 23 days ago
2003
IEEE
Set-valued estimation offers a way to account for imprecise knowledge of the prior distribution of a Bayesian statistical inference problem. The set-valued Kalman filter, which p...
SBRN
2000
IEEE
13 years 12 months ago
2000
IEEE
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...