3250 search results - page 97 / 650 » Parameterized Learning Complexity |
185
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
161
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
168
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COLT
2001
Springer
15 years 10 months ago
2001
Springer
We investigate the use of certain data-dependent estimates of the complexity of a function class, called Rademacher and Gaussian complexities. In a decision theoretic setting, we ...
149
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We consider the problem of embedding arbitrary objects (e.g., images, audio, documents) into Euclidean space subject to a partial order over pairwise distances. Partial order cons...
158
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ICML
2004
IEEE
16 years 7 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...