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» On the Expressive Power of QLTL
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BMCBI
2007
173views more  BMCBI 2007»
15 years 6 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
BMCBI
2008
107views more  BMCBI 2008»
15 years 6 months ago
A mixture model approach to sample size estimation in two-sample comparative microarray experiments
Background: Choosing the appropriate sample size is an important step in the design of a microarray experiment, and recently methods have been proposed that estimate sample sizes ...
Tommy S. Jørstad, Herman Midelfart, Atle M....
ICDE
2008
IEEE
168views Database» more  ICDE 2008»
16 years 7 months ago
On Supporting Kleene Closure over Event Streams
Complex event patterns involving Kleene closure are finding application in a variety of stream environments for tracking and monitoring purposes. In this paper, we propose a compac...
Daniel Gyllstrom, Jagrati Agrawal, Yanlei Diao, Ne...
ICML
2007
IEEE
16 years 7 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
POPL
2005
ACM
16 years 6 months ago
A probabilistic language based upon sampling functions
As probabilistic computations play an increasing role in solving various problems, researchers have designed probabilistic languages that treat probability distributions as primit...
Sungwoo Park, Frank Pfenning, Sebastian Thrun