1183 search results - page 146 / 237 » Learning Process Models with Missing Data |
108
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IMAGING
2003
15 years 2 months ago
2003
Color is of interest to those working in computer vision largely because it is assumed to be helpful for recognition. This assumption has driven much work in color based image ind...
116
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
125
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EDBT
2008
ACM
16 years 1 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
133
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ICIAR
2010
Springer
14 years 11 months ago
2010
Springer
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
WIOPT
2010
IEEE
14 years 12 months ago
2010
IEEE
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...