3694 search results - page 142 / 739 » Stochastic complexity in learning |
AI
2006
Springer
13 years 10 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
The structure of a Bayesian network (BN) encodes variable independence. Learning the structure of a BN, however, is typically of high computational complexity. In this paper, we e...
ECCV
2004
Springer
15 years 2 days ago
2004
Springer
We introduce a novel approach to modeling the dynamics of human facial motion induced by the action of speech for the purpose of synthesis. We represent the trajectories of a numbe...
IROS
2006
IEEE
14 years 4 months ago
2006
IEEE
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
In this paper, we consider the energy-efficient resource allocation that minimizes a general cost function of average user powers in wireless networks. A class of so-called -fair c...