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» Generating UML Models from Domain Patterns
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IJCNN
2006
IEEE
15 years 9 months ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
JNW
2008
167views more  JNW 2008»
15 years 3 months ago
Analyzing the ENRON Communication Network Using Agent-Based Simulation
Agent-based modeling, simulation, and network analysis approaches are one of the emergent techniques among soft computing literature. This paper presents an agent-based model for a...
Shinako Matsuyama, Takao Terano
ECML
2005
Springer
15 years 8 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
ACSD
2003
IEEE
125views Hardware» more  ACSD 2003»
15 years 8 months ago
Modelling a Secure, Mobile, and Transactional System with CO-OPN
Modelling complex concurrent systems is often difficult and error-prone, in particular when new concepts coming from advanced practical applications are considered. These new appl...
Didier Buchs, Stanislav Chachkov, David Hurzeler
AAAI
2010
15 years 1 months ago
Latent Class Models for Algorithm Portfolio Methods
Different solvers for computationally difficult problems such as satisfiability (SAT) perform best on different instances. Algorithm portfolios exploit this phenomenon by predicti...
Bryan Silverthorn, Risto Miikkulainen