495 search results - page 57 / 99 » Learning to generalize for complex selection tasks |
SMC
2007
IEEE
14 years 3 months ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
GECCO
2007
Springer
14 years 3 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
FCSC
2007
13 years 9 months ago
2007
1 The techniques for image analysis and classi cation generally consider the image sample labels xed and without uncertainties. The rank regression problem is studied in this pape...
JMLR
2010
13 years 3 months ago
2010
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
SDM
2010
SIAM
13 years 10 months ago
2010
SIAM
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...