374 search results - page 65 / 75 » Multiagent Reinforcement Learning: Theoretical Framework and... |
Book
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
IJCAI
1993
13 years 9 months ago
1993
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
GPEM
2000
13 years 7 months ago
2000
ct. A Bayesian framework for genetic programming GP is presented. This is motivated by the observation that genetic programming iteratively searches populations of fitter programs ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We consider the problem of decentralized detection under constraints on the number of bits that can be transmitted by each sensor. In contrast to most previous work, in which the ...