43 search results - page 1 / 9 » Empirical Bernstein stopping |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
JMLR
2010
13 years 2 days ago
2010
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
NN
1998
Springer
13 years 5 months ago
1998
Springer
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting ...
RECOMB
2001
Springer
13 years 9 months ago
2001
Springer
Previous divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be con...
NIPS
1996
13 years 6 months ago
1996
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...