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NN
1998
Springer
156views Neural Networks» more  NN 1998»
13 years 5 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
SENSYS
2010
ACM
13 years 3 months ago
AutoWitness: locating and tracking stolen property while tolerating GPS and radio outages
We present AutoWitness, a system to deter, detect, and track personal property theft, improve historically dismal stolen property recovery rates, and disrupt stolen property distr...
Santanu Guha, Kurt Plarre, Daniel Lissner, Somnath...
FCT
2005
Springer
13 years 11 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
DEDS
2010
97views more  DEDS 2010»
13 years 5 months ago
On Regression-Based Stopping Times
We study approaches that fit a linear combination of basis functions to the continuation value function of an optimal stopping problem and then employ a greedy policy based on the...
Benjamin Van Roy
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