259 search results - page 18 / 52 » A Hybrid Convergent Method for Learning Probabilistic Networ... |
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
SSPR
1998
Springer
13 years 11 months ago
1998
Springer
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
ESWA
2008
13 years 7 months ago
2008
Accounting frauds have continuously happened all over the world. This leads to the need of predicting business failures. Statistical methods and machine learning techniques have b...
SIGECOM
2009
ACM
14 years 2 months ago
2009
ACM
Policy teaching considers a Markov Decision Process setting in which an interested party aims to influence an agent’s decisions by providing limited incentives. In this paper, ...
NIPS
2008
13 years 9 months ago
2008
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...