588 search results - page 45 / 118 » Querying Objects Modeled by Arbitrary Probability Distributi... |
IPSN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract— Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and properties produced by w...
ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
WAOA
2007
Springer
15 years 3 months ago
2007
Springer
We consider the following distributed optimization problem: three agents i = 1, 2, 3 are each presented with a load drawn independently from the same known prior distribution. Then...
ECSQARU
2005
Springer
15 years 3 months ago
2005
Springer
This paper is part of a project to match real-world descriptions of instances of objects to models of objects. We use a rich ontology to describe s and models at multiple levels of...
NIPS
2000
14 years 11 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...