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» Input Modeling Using Quantile Statistical Methods
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BIRTHDAY
2009
Springer
16 years 1 months ago
Hybrid BDD and All-SAT Method for Model Checking
We present a new hybrid BDD and SAT-based algorithm for model checking. Our algorithm is based on backward search, where each pre-image computation consists of an efficient All-SA...
Avi Yadgar, Orna Grumberg, Assaf Schuster
IJCSA
2007
100views more  IJCSA 2007»
15 years 6 months ago
Using Artificial Neural networks for the modelling of a distillation column
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
Yahya Chetouani
BMCBI
2006
118views more  BMCBI 2006»
15 years 6 months ago
Statistical analysis of an RNA titration series evaluates microarray precision and sensitivity on a whole-array basis
Background: Concerns are often raised about the accuracy of microarray technologies and the degree of cross-platform agreement, but there are yet no methods which can unambiguousl...
Andrew J. Holloway, Alicia Oshlack, Dileepa S. Diy...
TIP
2008
133views more  TIP 2008»
15 years 6 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
PODS
1997
ACM
72views Database» more  PODS 1997»
15 years 10 months ago
OLAP and Statistical Databases: Similarities and Differences
During the 1980's there was a lot of activity in the area of Statistical Databases, focusing mostly on socio-economic type applications, such as census data, national product...
Arie Shoshani