296 search results - page 5 / 60 » How to process uncertainty in machine learning |
ECML
2005
Springer
14 years 2 months ago
2005
Springer
This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
COLT
2007
Springer
14 years 2 months ago
2007
Springer
Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP). Unlike the case of an MDP, t...
VISSYM
2007
13 years 11 months ago
2007
Lattice graphs are used as underlying data structures in many statistical processing systems, including natural language processing. Lattices compactly represent multiple possible...
ECTEL
2006
Springer
14 years 13 days ago
2006
Springer
Abstract. Content objects are essential links between Knowledge Management and E-Learning systems. Therefore content authoring and sharing is an important, interdisciplinary topic ...