344 search results - page 27 / 69 » Robustness of the Learning with Errors Assumption |
COLING
1994
15 years 1 months ago
1994
IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major sou...
ICONIP
2009
14 years 9 months ago
2009
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
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AUTOMATICA
2002
14 years 11 months ago
2002
This paper addresses the initial shift problem in iterative learning control with system relative degree. The tracking error caused by nonzero initial shift is detected when apply...
ECML
2001
Springer
15 years 4 months ago
2001
Springer
When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
ICML
2006
IEEE
16 years 17 days ago
2006
IEEE
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...