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» Validation of protein models by a neural network approach
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ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 7 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
MASCOTS
2007
13 years 10 months ago
PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers
— We present a tool, PerfCenter, that takes as input the deployment, configuration, message flow and workload details of the hardware and software servers in an application hos...
Rukma Prabhu Verlekar, Varsha Apte, Prakhar Goyal,...
BMCBI
2008
90views more  BMCBI 2008»
13 years 8 months ago
Ortholog-based protein-protein interaction prediction and its application to inter-species interactions
Background: The rapid growth of protein-protein interaction (PPI) data has led to the emergence of PPI network analysis. Despite advances in high-throughput techniques, the intera...
Sheng-An Lee, Chen-hsiung Chan, Chi-Hung Tsai, Jin...
DISOPT
2011
175views Education» more  DISOPT 2011»
13 years 8 days ago
Strengthening lattice-free cuts using non-negativity
In recent years there has been growing interest in generating valid inequalities for mixedinteger programs using sets with 2 or more constraints. In particular, Andersen et al. (2...
Ricardo Fukasawa, Oktay Günlük
DSN
2003
IEEE
14 years 2 months ago
A Data-Driven Finite State Machine Model for Analyzing Security Vulnerabilities
This paper combines an analysis of data on security vulnerabilities (published in Bugtraq database) and a focused source-code examination to develop a finite state machine (FSM) m...
Shuo Chen, Zbigniew Kalbarczyk, Jun Xu, Ravishanka...