56 search results - page 5 / 12 » Approximation of Data by Decomposable Belief Models |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
IJAR
2008
13 years 7 months ago
2008
Using Shafer and Vovk's game-theoretic framework for probability, we derive a capital asset pricing model from an efficient market hypothesis, with no assumptions about the b...
INFOCOM
2002
IEEE
14 years 16 days ago
2002
IEEE
—This paper utilizes belief networks to implement fault localization in communication systems taking into account comprehensive information about the system behavior. Most previo...
ML
2008
ACM
13 years 7 months ago
2008
ACM
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...