3378 search results - page 220 / 676 » Learning in Friedberg Numberings |
182
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ICDM
2006
IEEE
16 years 19 days 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...
152
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ROBIO
2006
IEEE
16 years 18 days ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
152
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FOCS
2005
IEEE
16 years 6 days ago
2005
IEEE
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
134
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ECML
2005
Springer
16 years 3 days ago
2005
Springer
Probability trees (or Probability Estimation Trees, PET’s) are decision trees with probability distributions in the leaves. Several alternative approaches for learning probabilit...
157
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EMMCVPR
2005
Springer
2005
Springer
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
16 years 3 days ago
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...