160 search results - page 5 / 32 » Model Selection for Small Sample Regression |
AUSAI
2007
Springer
13 years 11 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
DAC
2010
ACM
13 years 7 months ago
2010
ACM
In this paper, we propose a novel multi-mode/multi-corner sparse regression (MSR) algorithm to build large-scale performance models of integrated circuits at multiple working mode...
INFORMATICALT
2008
13 years 7 months ago
2008
Classification and regression tree approach was used in this research to model phone duration of Lithuanian. 300 thousand samples of vowels and 400 thousand samples of consonants e...
PRL
2010
13 years 2 months ago
2010
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
BMCBI
2004
13 years 7 months ago
2004
Background: The detection of small yet statistically significant differences in gene expression in spotted DNA microarray studies is an ongoing challenge. Meeting this challenge r...