1398 search results - page 6 / 280 » Bayesian actor-critic algorithms |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Whenever a dataset has multiple discrete target variables, we want our algorithms to consider not only the variables themselves, but also the interdependencies between them. We pro...
JMLR
2002
13 years 7 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
DCC
2010
IEEE
13 years 6 months ago
2010
IEEE
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
AIIA
2003
Springer
14 years 21 days ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
INFORMATICALT
2010
13 years 6 months ago
2010
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...