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EGICE
2006
13 years 11 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
ICAS
2005
IEEE
155views Robotics» more  ICAS 2005»
14 years 1 months ago
Analyzing the Impact of Components Replication in High Available J2EE Clusters
Clustering is a well known technique that allows scalability and fault tolerance in distributed systems. In the J2EE framework, clustering can be used to improve the performance a...
Davide Rossi, Elisa Turrini
ISORC
2009
IEEE
14 years 2 months ago
Fault-Tolerance for Component-Based Systems - An Automated Middleware Specialization Approach
General-purpose middleware, by definition, cannot readily support domain-specific semantics without significant manual efforts in specializing the middleware. This paper prese...
Sumant Tambe, Akshay Dabholkar, Aniruddha S. Gokha...
BMCBI
2005
98views more  BMCBI 2005»
13 years 7 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
ATVA
2006
Springer
153views Hardware» more  ATVA 2006»
13 years 11 months ago
Learning-Based Symbolic Assume-Guarantee Reasoning with Automatic Decomposition
Abstract. Compositional reasoning aims to improve scalability of verification tools by reducing the original verification task into subproblems. The simplification is typically bas...
Wonhong Nam, Rajeev Alur