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» On Computing Functions with Uncertainty
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DAGSTUHL
2006
13 years 10 months ago
Modeling and Simulating Biological Processes with Stochastic Multiset Rewriting
ed Abstract Membrane systems are models of computation inspired by the structure and the function of biological cells. The model was introduced in 1998 by Gh. Paun and since then m...
Matteo Cavaliere, Sean Sedwards
NIPS
1998
13 years 10 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
WSC
2000
13 years 10 months ago
Analyzing transformation-based simulation metamodels
We present a technique for analyzing a simulation metamodel that has been constructed using a variancestabilizing transformation. To compute a valid confidence interval for the ex...
Maria de los A. Irizarry, Michael E. Kuhl, Emily K...
ISMB
1994
13 years 10 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
ISMB
1993
13 years 10 months ago
Pattern Discovery in Gene Regulation: Designing an Analysis Environment
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
Stella Veretnik, Bruce R. Schatz
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