420 search results - page 2 / 84 » Metric-Based Methods for Adaptive Model Selection and Regula... |
ACL
2007
13 years 6 months ago
2007
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
BMCBI
2010
13 years 2 months ago
2010
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
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 ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
IEICET
2007
13 years 4 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...