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» Model Selection and Error Estimation
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118
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IDA
2002
Springer
15 years 2 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
JMLR
2006
89views more  JMLR 2006»
15 years 2 months ago
Lower Bounds and Aggregation in Density Estimation
In this paper we prove the optimality of an aggregation procedure. We prove lower bounds for aggregation of model selection type of M density estimators for the Kullback-Leibler d...
Guillaume Lecué
IOR
2006
91views more  IOR 2006»
15 years 2 months ago
Robust One-Period Option Hedging
The paper considers robust optimization to cope with uncertainty about the stock return process in one period option hedging problems. The robust approach relates portfolio choice ...
Frank Lutgens, Jos F. Sturm, Antoon Kolen
NECO
2006
157views more  NECO 2006»
15 years 2 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
89
Voted
FS
2010
140views more  FS 2010»
15 years 1 months ago
Nonparametric estimation for a stochastic volatility model
Abstract Consider discrete time observations (X δ)1≤ ≤n+1 of the process X satisfying dXt = √ VtdBt, with Vt a one-dimensional positive diffusion process independent of the...
F. Comte, V. Genon-Catalot, Yves Rozenholc