27 search results - page 3 / 6 » What Size Test Set Gives Good Error Rate Estimates |
BMCBI
2004
13 years 7 months ago
2004
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
ICCV
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
EUROCOLT
1999
Springer
13 years 12 months ago
1999
Springer
Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
AUSAI
2003
Springer
14 years 28 days ago
2003
Springer
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
CJ
2008
13 years 7 months ago
2008
We will describe three kinds of probabilistic induction problems, and give general solutions for each , with associated convergence theorems that show they tend to give good proba...