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IJAR
2002
102views more  IJAR 2002»
15 years 2 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
218
Voted
DSP
2007
15 years 2 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
ATAL
2010
Springer
15 years 3 months ago
Generation and analysis of multiple futures with swarming agents
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore a great m...
H. Van Dyke Parunak
109
Voted
SEMWEB
2007
Springer
15 years 8 months ago
Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach
Ontology mapping is to find semantic correspondences between similar elements of different ontologies. It is critical to achieve semantic interoperability in the WWW. This paper pr...
Ming Mao
JCB
2002
131views more  JCB 2002»
15 years 2 months ago
Modeling and Simulation of Genetic Regulatory Systems: A Literature Review
In order to understand the functioning of organisms on the molecular level, we need to know which genes are expressed, when and where in the organism, and to which extent. The reg...
Hidde de Jong