710 search results - page 86 / 142 » Online Learning with Prior Knowledge |
121
Voted
ESANN
2008
15 years 5 months ago
2008
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
108
Voted
CORR
2010
Springer
15 years 3 months ago
2010
Springer
Sparse methods for supervised learning aim at finding good linear predictors from as few variables as possible, i.e., with small cardinality of their supports. This combinatorial ...
104
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
Practical experience has shown that in order to obtain the best possible performance, prior knowledge about invariances of a classification problem at hand ought to be incorporated...
144
Voted
AAAI
2006
15 years 5 months ago
2006
My research attempts to address on-line action selection in reinforcement learning from a Bayesian perspective. The idea is to develop more effective action selection techniques b...
136
Voted
ICIP
2002
IEEE
16 years 5 months ago
2002
IEEE
Content-based retrieval (CBIR) methods in medical databases have been designed to support specific tasks, such as retrieval of digital mammograms or 3D MRI images. These methods c...