2363 search results - page 46 / 473 » Learning Algorithms for Domain Adaptation |
HIS
2008
13 years 10 months ago
2008
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
MVA
2002
13 years 8 months ago
2002
2 Related Works Gaussian mixtures are often used for data modeling in many real-time applications such as video background modeling and speaker direction tracking. The real-time a...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
GECCO
2011
Springer
13 years 7 days ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...