801 search results - page 6 / 161 » The Inefficiency of Batch Training for Large Training Sets |
97
Voted
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
100
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ATMOS
2010
14 years 10 months ago
2010
The aim of the train timetabling problem is to find a conflict free timetable for a set of passenger and freight trains along their routes in an infrastructure network. Several ...
107
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ECML
2007
Springer
15 years 5 months ago
2007
Springer
Many real-world classification applications fall into the class of positive and unlabeled (PU) learning problems. In many such applications, not only could the negative training ex...
113
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FGR
2008
IEEE
15 years 6 months ago
2008
IEEE
Partial occlusions in face images pose a great problem for most face recognition algorithms. Several solutions to this problem have been proposed over the years – ranging from d...
107
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CVPR
2008
IEEE
15 years 6 months ago
2008
IEEE
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...