509 search results - page 22 / 102 » Using Learning for Approximation in Stochastic Processes |
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— In this article, we apply the competitive associative net called CAN2 to the processing of the range data of indoor environment acquired by a mobile robot, where the CAN2 is a ...
DSMML
2004
Springer
14 years 24 days ago
2004
Springer
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
ECBS
2009
IEEE
14 years 2 months ago
2009
IEEE
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
JAIR
2008
13 years 7 months ago
2008
In this article we consider the issue of optimal control in collaborative multi-agent systems with stochastic dynamics. The agents have a joint task in which they have to reach a ...