1316 search results - page 29 / 264 » Comparing mathematical models on the problem of network infe... |
128
click to vote
IJCNN
2006
IEEE
15 years 10 months ago
2006
IEEE
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
137
click to vote
AAAI
2010
15 years 5 months ago
2010
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
159
click to vote
BMCBI
2010
15 years 4 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
129
click to vote
NETWORKS
2010
15 years 2 months ago
2010
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
156
click to vote
IPSN
2005
Springer
15 years 10 months ago
2005
Springer
Tracking the identities of moving objects is an important aspect of most multi-object tracking applications. Uncertainty in sensor data, coupled with the intrinsic difficulty of ...