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» Model Based Importance Analysis for Minimal Cut Sets
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ALMOB
2006
113views more  ALMOB 2006»
15 years 1 months ago
Inverse bifurcation analysis: application to simple gene systems
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
James Lu, Heinz W. Engl, Peter Schuster
ATVA
2007
Springer
136views Hardware» more  ATVA 2007»
15 years 8 months ago
Symbolic Fault Tree Analysis for Reactive Systems
Fault tree analysis is a traditional and well-established technique for analyzing system design and robustness. Its purpose is to identify sets of basic events, called cut sets, wh...
Marco Bozzano, Alessandro Cimatti, Francesco Tappa...
RECOMB
2007
Springer
16 years 2 months ago
Minimizing and Learning Energy Functions for Side-Chain Prediction
Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
Chen Yanover, Ora Schueler-Furman, Yair Weiss
CAINE
2007
15 years 3 months ago
A Novel Peak Detection Algorithm for Use in the Study of Machining Chip Segmentation
The study of how metal deforms and flows as parts are machined yields important insights into the metal cutting process. Improvements in high-speed digital imaging and image proce...
Eric Whitenton, Robert Ivester, Jarred Heigel
CJ
2010
134views more  CJ 2010»
14 years 11 months ago
Designing Effective Policies for Minimal Agents
A policy for a minimal reactive agent is a set of condition-action rules used to determine its response to perceived environmental stimuli. When the policy pre-disposes the agent t...
Krysia Broda, Christopher J. Hogger