10054 search results - page 157 / 2011 » On the Complexity of Function Learning |
107
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FOCS
1999
IEEE
15 years 5 months ago
1999
IEEE
This paper connects two fundamental ideas from theoretical computer science: hard-core set construction, a type of hardness amplification from computational complexity, and boosti...
109
Voted
TMI
2008
15 years 16 days ago
2008
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
121
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KES
2008
Springer
15 years 18 days ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
78
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GECCO
2009
Springer
15 years 5 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...
ECML
1993
Springer
15 years 4 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...