2750 search results - page 32 / 550 » The complexity of learning SUBSEQ(A) |
101
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ALT
2004
Springer
15 years 11 months ago
2004
Springer
Rademacher and Gaussian complexities are successfully used in learning theory for measuring the capacity of the class of functions to be learned. One of the most important propert...
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
105
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ECML
1993
Springer
15 years 6 months ago
1993
Springer
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
157
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CVPR
2005
IEEE
15 years 3 months ago
2005
IEEE
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
116
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IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
A self-organizing neural network for learning and recall of complex temporal sequences is proposed. we consider a single sequence with repeated items, or several sequences with a c...