3250 search results - page 196 / 650 » Parameterized Learning Complexity |
168
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AIED
2009
Springer
16 years 1 months ago
2009
Springer
The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particu...
164
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ECAL
2005
Springer
16 years 1 days ago
2005
Springer
The complexity, variation, and change of human languages makes evident the importance of representation and learning in the acquisition and evolution of language. For example, anal...
185
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FOCS
2008
IEEE
16 years 29 days ago
2008
IEEE
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
178
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
158
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...