103 search results - page 14 / 21 » Comparing Massive High-Dimensional Data Sets |
ICASSP
2007
IEEE
14 years 1 months ago
2007
IEEE
Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
JMLR
2012
11 years 9 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
BMCBI
2011
12 years 11 months ago
2011
Background: The popularity of massively parallel exome and transcriptome sequencing projects demands new data mining tools with a comprehensive set of features to support a wide r...
BMCBI
2010
13 years 7 months ago
2010
Background: The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function c...
KDD
2004
ACM
14 years 7 months ago
2004
ACM
Massive publicly available gene expression data consisting of different experimental conditions and microarray platforms introduce new challenges in data mining when integrating m...