818 search results - page 104 / 164 » Network bargaining: algorithms and structural results |
INFOCOM
2000
IEEE
14 years 7 days ago
2000
IEEE
Abstract—In this paper, we present the implementation issues of a virtual backbone that supports the operations of the Uniform Quorum System (UQS) and the Randomized Database Gro...
IJCAI
2007
13 years 9 months ago
2007
Compiling Bayesian networks (BNs) is one of the hot topics in the area of probabilistic modeling and processing. In this paper, we propose a new method of compiling BNs into multi...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
INFOCOM
2008
IEEE
14 years 2 months ago
2008
IEEE
— We study the end-to-end resource allocation in an OFDM based multi-hop network consisting of a one-dimensional chain of nodes including a source, a destination, and multiple re...
FLAIRS
2004
13 years 9 months ago
2004
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...