275 search results - page 5 / 55 » Learning with Errors over Rings |
DT
2000
13 years 7 months ago
2000
Research on practical design verification techniques has long been impeded by the lack of published and yet detailed error data. Over the last few years we have systematically coll...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
NCI
2004
13 years 9 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
KDD
1998
ACM
13 years 12 months ago
1998
ACM
This paper explores unexpected results that lie at the intersection of two common themes in the KDD community: large datasets and the goal of building compact models. Experiments ...