241 search results - page 45 / 49 » Parameter learning for relational Bayesian networks |
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
ECCV
2006
Springer
15 years 1 months ago
2006
Springer
While learning ensembles have been widely used for various pattern recognition tasks, surprisingly, they have found limited application in problems related to medical image analysi...
NECO
2007
14 years 9 months ago
2007
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
134
Voted
TIP
2010
14 years 4 months ago
2010
The emergence of low-cost sensing architectures for diverse modalities has made it possible to deploy sensor networks that capture a single event from a large number of vantage po...
144
click to vote
AINA
2008
IEEE
15 years 4 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...