443 search results - page 3 / 89 » Partial Probability: Theory and Applications |
86
Voted
IJCAI
1989
15 years 3 days ago
1989
Recent results in the foundations of probability theory indicate that a conditional probability can be viewed as a probability attached to a mathematical entity called a measure-f...
59
Voted
SYNTHESE
2010
14 years 9 months ago
2010
“Bayesian probability” here means the concept of probability used in Bayesian decision theory. It is usually identified with the agent’s degrees of belief but that interpret...
SAGA
2007
Springer
15 years 5 months ago
2007
Springer
We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
137
Voted
SIAMMAX
2010
14 years 5 months ago
2010
The problem of completing a low-rank matrix from a subset of its entries is often encountered in the analysis of incomplete data sets exhibiting an underlying factor model with app...
91
Voted
ICCV
1995
IEEE
15 years 2 months ago
1995
IEEE
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...