Sciweavers

283 search results - page 7 / 57
» Probabilistic Inference in Queueing Networks
Sort
View
HIS
2003
13 years 9 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider
IJAR
2008
95views more  IJAR 2008»
13 years 7 months ago
Complexity results for enhanced qualitative probabilistic networks
While quantitative probabilistic networks (QPNs) allow the expert to state influences between nodes in the network as influence signs, rather than conditional probabilities, infer...
Johan Kwisthout, Gerard Tel
AUSAI
2005
Springer
14 years 1 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
UAI
2000
13 years 9 months ago
Pivotal Pruning of Trade-offs in QPNs
Qualitative probabilistic networks have been designed for probabilistic reasoning in a qualitative way. Due to their coarse level of representation detail, qualitative probabilist...
Silja Renooij, Linda C. van der Gaag, Simon Parson...
ICRA
2002
IEEE
84views Robotics» more  ICRA 2002»
14 years 20 days ago
Queueing Network Modeling and Lead Time Compression of Electronic Procurement
Abstract- Procurement, i.e., the process of obtaining materials or services and managing their inflow into organizations, is a critical process in supply chain management. Internet...
C. V. L. Raju, Y. Narahari