12 search results - page 1 / 3 » Learning Finite Automata Using Local Distinguishing Experime... |
IJCAI
1993
13 years 5 months ago
1993
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
AAAI
1992
13 years 5 months ago
1992
It is often useful for a robot to construct a spatial representation of its environment from experiments and observations, in other words, to learn a map of its environment by exp...
COLT
1995
Springer
13 years 8 months ago
1995
Springer
We propose and analyze a distribution learning algorithm for a subclass of Acyclic Probabilistic Finite Automata (APFA). This subclass is characterized by a certain distinguishabi...
MICCAI
1999
Springer
13 years 8 months ago
1999
Springer
We present a new approach for the computation of the deformation field between three dimensional (3D) images. The deformation field minimizes the sum of the squared differences b...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...