241 search results - page 33 / 49 » Learning Classes of Probabilistic Automata |
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We describe an ensemble approach to learning1 salient regions from data partitioned according to the2 distributed processing requirements of large-scale sim-3 ulations. The volume...
ECML
2003
Springer
14 years 18 days ago
2003
Springer
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ā...
ECML
2001
Springer
13 years 12 months ago
2001
Springer
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
ALT
2007
Springer
14 years 4 months ago
2007
Springer
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...