210 search results - page 10 / 42 » Inference and Learning in Multi-dimensional Bayesian Network... |
AAAI
2011
12 years 7 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
INFOCOM
2008
IEEE
14 years 1 months ago
2008
IEEE
—Knowledge of the network path properties such as latency, hop count, loss and bandwidth is key to the performance of overlay networks, grids and p2p applications. Network operat...
PPSN
2004
Springer
14 years 22 days ago
2004
Springer
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
UAI
2001
13 years 8 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
COLING
2000
13 years 8 months ago
2000
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...