241 search results - page 13 / 49 » Learning Classes of Probabilistic Automata |
ICCV
2003
IEEE
14 years 9 months ago
2003
IEEE
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
ATAL
2006
Springer
13 years 11 months ago
2006
Springer
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
DAGSTUHL
2007
13 years 8 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
ICDAR
2009
IEEE
14 years 2 months ago
2009
IEEE
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
ML
2002
ACM
13 years 7 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...