2750 search results - page 291 / 550 » The complexity of learning SUBSEQ(A) |
165
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NIPS
1998
15 years 8 months ago
1998
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
163
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ISMB
1993
15 years 8 months ago
1993
There are several dimensions and levels of complexity in which information on protein motifs may be available. For example, onedimensional sequence motifs may be associated with s...
158
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
The goal of semi-supervised image segmentation is to obtain the segmentation from a partially labeled image. By utilizing the image manifold structure in labeled and unlabeled pix...
181
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
204
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AR
2007
15 years 6 months ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...