827 search results - page 146 / 166 » Variational methods for Reinforcement Learning |
127
Voted
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
129
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
114
Voted
ICASSP
2010
IEEE
15 years 20 days ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
82
Voted
CE
2005
15 years 11 days ago
2005
The aim of the present study was to analyze teachers' pedagogical designs, plans of organized technology-supported, collective student inquiry. Ten teachers in Finland design...
IJCNN
2008
IEEE
15 years 6 months ago
2008
IEEE
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...