2712 search results - page 242 / 543 » On learning algorithm selection for classification |
190
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AIEDU
2008
15 years 6 months ago
2008
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
166
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NECO
2008
15 years 6 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
188
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SMC
2007
IEEE
16 years 27 days ago
2007
IEEE
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
163
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
204
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COLT
2010
Springer
15 years 4 months ago
2010
Springer
We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we c...