2034 search results - page 35 / 407 » Substring Selectivity Estimation |
JMLR
2010
13 years 3 months ago
2010
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
NECO
1998
13 years 8 months ago
1998
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
SMA
2010
ACM
13 years 3 months ago
2010
ACM
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
DAGM
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
OR
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. The most relevant practical impediment to an application of the Markowitz portfolio selection approach is the problem of estimating return moments, in particular return e...