27 search results - page 2 / 6 » Learning Stochastic Perceptrons Under k-Blocking Distributio... |
STACS
1999
Springer
13 years 9 months ago
1999
Springer
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
ATAL
2009
Springer
13 years 11 months ago
2009
Springer
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
ICGI
1998
Springer
13 years 8 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...
COLT
1992
Springer
13 years 8 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...