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174
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ALT
1999
Springer
15 years 11 months ago
1999
Springer
We introduce a new model for learning in the presence of noise, which we call the Nasty Noise model. This model generalizes previously considered models of learning with noise. Th...
185
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IJCAI
2007
15 years 8 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
195
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NIPS
2007
15 years 8 months ago
2007
This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
214
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IJCAI
1989
15 years 8 months ago
1989
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
232
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ATAL
2010
Springer
15 years 8 months ago
2010
Springer
As learning agents move from research labs to the real world, it is increasingly important that human users, including those without programming skills, be able to teach agents de...