241 search results - page 7 / 49 » Learning Classes of Probabilistic Automata |
129
click to vote
CVPR
2009
IEEE
16 years 6 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...
88
Voted
TSMC
1998
14 years 11 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
14 years 11 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
15 years 5 months 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
15 years 3 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...