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INFORMS
1998
142views more  INFORMS 1998»
13 years 8 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
ICCV
2007
IEEE
14 years 10 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
CIKM
2003
Springer
14 years 1 months ago
Content-based retrieval in hybrid peer-to-peer networks
Hybrid peer-to-peer architectures use special nodes to provide directory services for regions of the network (“regional directory services”). Hybrid peer-to-peer architectures...
Jie Lu, James P. Callan
GECCO
2004
Springer
150views Optimization» more  GECCO 2004»
14 years 1 months ago
Systems Biology Modeling in Human Genetics Using Petri Nets and Grammatical Evolution
Understanding the hierarchical relationships among biochemical, metabolic, and physiological systems in the mapping between genotype and phenotype is expected to improve the diagno...
Jason H. Moore, Lance W. Hahn
PADS
2009
ACM
14 years 3 months ago
An Approach for Validation of Semantic Composability in Simulation Models
Semantic composability aims to ensure that the composition of simulation components is meaningful in terms of their expressed behavior, and achieves the desired objective of the n...
Claudia Szabo, Yong Meng Teo