Sciweavers

481 search results - page 63 / 97
» Parameter estimation for Boolean models of biological networ...
Sort
View
UAI
2003
14 years 3 days ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ICDCSW
2006
IEEE
14 years 4 months ago
Characterization of a Connectivity Measure for Sparse Wireless Multi-hop Networks
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
Srinath Perur, Sridhar Iyer
AB
2008
Springer
14 years 5 months ago
An Algorithm for Qualitative Simulation of Gene Regulatory Networks with Steep Sigmoidal Response Functions
A specific class of ODEs has been shown to be adequate to describe the essential features of the complex dynamics of Gene-Regulatory Networks (GRN). But, the effective exploitatio...
Liliana Ironi, Luigi Panzeri, Erik Plahte
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 11 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
JDCTA
2010
126views more  JDCTA 2010»
13 years 5 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...