26 search results - page 1 / 6 » On Over-fitting in Model Selection and Subsequent Selection ... |
JMLR
2010
12 years 11 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...
BMCBI
2006
13 years 4 months ago
2006
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
We propose a mathematical framework for query selection as a mechanism for reducing the cost of constructing information retrieval test collections. In particular, our mathematica...
CSDA
2006
13 years 4 months ago
2006
Following the work of Hurvich, Shumway, and Tsai (1990), we propose an "improved" variant of the Akaike information criterion, AICi, for state-space model selection. The...
CLUSTER
2004
IEEE
13 years 4 months ago
2004
IEEE
The efficient use of network capacity in shared restoration schemes strongly depends upon the path selection procedure. In this paper we propose and evaluate path selection algorit...