2476 search results - page 1 / 496 » Model Selection and Error Estimation |
ESANN
2004
13 years 6 months ago
2004
Abstract. A well-known result by Stein shows that regularized estimators with small bias often yield better estimates than unbiased estimators. In this paper, we adapt this spirit ...
ICC
2007
IEEE
13 years 11 months ago
2007
IEEE
— In this paper we present an analytical approach to evaluate the symbol error rate (SER) of OFDM systems subject to carrier frequency offset (CFO) and channel estimation error i...
IEICET
2007
13 years 4 months ago
2007
Estimating the generalization error is one of the key ingredients of supervised learning since a good generalization error estimator can be used for model selection. An unbiased g...
ICANN
2005
Springer
13 years 10 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
COLT
2000
Springer
13 years 9 months ago
2000
Springer
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...