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» Gaussian process for nonstationary time series prediction
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BMCBI
2007
179views more  BMCBI 2007»
13 years 8 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
JMLR
2011
187views more  JMLR 2011»
13 years 3 months ago
Robust Statistics for Describing Causality in Multivariate Time Series
A widely agreed upon definition of time series causality inference, established in the seminal 1969 article of Clive Granger (1969), is based on the relative ability of the histor...
Florin Popescu
CIKM
2008
Springer
13 years 10 months ago
A sparse gaussian processes classification framework for fast tag suggestions
Tagged data is rapidly becoming more available on the World Wide Web. Web sites which populate tagging services offer a good way for Internet users to share their knowledge. An in...
Yang Song, Lu Zhang 0007, C. Lee Giles
SUTC
2006
IEEE
14 years 2 months ago
An Adaptive Hybrid Dynamic Power Management Method
In this paper, we propose an adaptive hybrid dynamic power management (AH-DPM) strategy based on a predictive shutdown scheme and an adaptive non-stationary stochastic process. Th...
Hung-Cheng Shih, Kuochen Wang
ICPR
2006
IEEE
14 years 9 months ago
Onset Detection through Maximal Redundancy Detection
We propose a criterion, called `maximal redundancy', for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a si...
Gert Van Dijck, Marc M. Van Hulle