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» On Regression-Based Stopping Times
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NN
1998
Springer
156views Neural Networks» more  NN 1998»
13 years 4 months ago
Automatic early stopping using cross validation: quantifying the criteria
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  ...
Lutz Prechelt
CORR
2007
Springer
101views Education» more  CORR 2007»
13 years 5 months ago
Tracking Stopping Times
— Let {(Xi, Yi)}∞ i=1 be a sequence of pairs of random variables, and let S be a bounded stopping time with respect to {Xi}∞
Urs Niesen, Aslan Tchamkerten, Gregory W. Wornell
FCT
2005
Springer
13 years 10 months ago
Path Coupling Using Stopping Times
Abstract. We analyse the mixing time of Markov chains using path coupling with stopping times. We apply this approach to two hypergraph problems. We show that the Glauber dynamics ...
Magnus Bordewich, Martin E. Dyer, Marek Karpinski
FS
2006
84views more  FS 2006»
13 years 5 months ago
Iterative construction of the optimal Bermudan stopping time
Abstract. We present an iterative procedure for computing the optimal Bermudan stopping time, hence the Bermudan Snell envelope. The method produces an increasing sequence of appro...
Anastasia Kolodko, John Schoenmakers
SCALESPACE
2001
Springer
13 years 9 months ago
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering
We develop a novel time-selection strategy for iterative image restoration techniques: the stopping time is chosen so that the correlation of signal and noise in the filtered imag...
Pavel Mrázek