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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 11 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
JCB
2007
198views more  JCB 2007»
15 years 4 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
BMCBI
2010
135views more  BMCBI 2010»
15 years 5 months ago
Efficient genome-scale phylogenetic analysis under the duplication-loss and deep coalescence cost models
Background: Genomic data provide a wealth of new information for phylogenetic analysis. Yet making use of this data requires phylogenetic methods that can efficiently analyze extr...
Mukul S. Bansal, J. Gordon Burleigh, Oliver Eulens...
WSC
2008
15 years 7 months ago
Modeling of air traffic arrival operations through agent-based simulation
This paper reports on the development and validation of an agent based simulation model of air traffic control arrival operations. The simulation model includes modeling of both t...
Sanjiv Shresta, Ralf H. Mayer
BPM
2006
Springer
98views Business» more  BPM 2006»
15 years 8 months ago
Structured Service Composition
Composition languages like BPEL and many enactment tools only support structured process models, while most composition approaches only consider unstructured models. In this paper,...
Rik Eshuis, Paul W. P. J. Grefen, Sven Till