Sciweavers

779 search results - page 46 / 156
» Modeling Dependable Systems using Hybrid Bayesian Networks
Sort
View
DSN
2002
IEEE
14 years 1 months ago
Process Modelling to Support Dependability Arguments
This paper reports work to support dependability arguments about the future reliability of a product before there is direct empirical evidence. We develop a method for estimating ...
Robin E. Bloomfield, Sofia Guerra
HYBRID
2007
Springer
14 years 2 months ago
Model Checking Genetic Regulatory Networks with Parameter Uncertainty
The lack of precise numerical information for the values of biological parameters severely limits the development and analysis of models of genetic regulatory networks. To deal wit...
Grégory Batt, Calin Belta, Ron Weiss
JMLR
2006
169views more  JMLR 2006»
13 years 8 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ICDAR
2009
IEEE
13 years 6 months ago
Lexicon-Based Word Recognition Using Support Vector Machine and Hidden Markov Model
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
Abdul Rahim Ahmad, Christian Viard-Gaudin, Marzuki...
BMCBI
2007
182views more  BMCBI 2007»
13 years 9 months ago
Hybrid elementary flux analysis/nonparametric modeling: application for bioprocess control
Background: The progress in the "-omic" sciences has allowed a deeper knowledge on many biological systems with industrial interest. This knowledge is still rarely used ...
Ana P. Teixeira, Carlos Alves, Paula M. Alves, Man...