248 search results - page 47 / 50 » Learning the Structure of Dynamic Probabilistic Networks |
DATE
2003
IEEE
14 years 26 days ago
2003
IEEE
Novel reconfigurable computing architectures exploit the inherent parallelism available in many signalprocessing problems. These architectures often consist of networks of compute...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The topological properties of a network directly impact the flow of information through a system. In evolving populations, the topology of inter-individual interactions affects th...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
RECOMB
2010
Springer
14 years 2 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
A dynamic model of a multiagent system defines a probability distribution over possible system behaviors over time. Alternative representations for such models present tradeoffs i...