212 search results - page 9 / 43 » A Gibbs distribution that learns from GA dynamics |
99
Voted
JUCS
2008
15 years 11 days ago
2008
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
GECCO
2006
Springer
15 years 4 months ago
2006
Springer
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
100
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
Abstract. There has been growing interest in developing nonlinear dimensionality reduction algorithms for vision applications. Although progress has been made in recent years, conv...
107
Voted
IROS
2008
IEEE
15 years 6 months ago
2008
IEEE
—Multi-robot reinforcement learning is a very challenging area due to several issues, such as large state spaces, difficulty in reward assignment, nondeterministic action selecti...