43 search results - page 1 / 9 » Empirical Bernstein stopping |
89
Voted
ICML
2008
IEEE
16 years 1 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 ...
105
Voted
JMLR
2010
14 years 7 months ago
2010
Concentration inequalities that incorporate variance information (such as Bernstein's or Bennett's inequality) are often significantly tighter than counterparts (such as...
80
Voted
NN
1998
Springer
15 years 2 days 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 ...
82
Voted
RECOMB
2001
Springer
15 years 4 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...
91
Voted
NIPS
1996
15 years 1 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...