1034 search results - page 131 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
118
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RECOMB
2003
Springer
16 years 25 days ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
167
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
ICDM
2009
IEEE
14 years 10 months ago
2009
IEEE
Recently a number of modeling techniques have been developed for data mining and machine learning in relational and network domains where the instances are not independent and ide...
105
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COLT
1999
Springer
15 years 4 months ago
1999
Springer
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
122
Voted
ICDM
2006
IEEE
15 years 6 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...