1895 search results - page 126 / 379 » Function learning from interpolation |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
ISMIR
2004
Springer
15 years 3 months ago
2004
Springer
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
ATAL
2008
Springer
14 years 12 months ago
2008
Springer
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
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SIAMIS
2010
14 years 4 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...