241 search results - page 7 / 49 » Learning Classes of Probabilistic Automata |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
TSMC
1998
13 years 7 months ago
1998
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
FORMATS
2004
Springer
14 years 22 days ago
2004
Springer
Abstract. We extend Angluin’s algorithm for on-line learning of regular languages to the setting of timed systems. We consider systems that can be described by a class of determi...
ICGI
1998
Springer
13 years 11 months ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...