468 search results - page 57 / 94 » A multi-objective approach to search-based test data generat... |
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
BMCBI
2008
13 years 10 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
KDD
2000
ACM
14 years 1 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
BMCBI
2005
13 years 10 months ago
2005
Background: Molecular profiling generates abundance measurements for thousands of gene transcripts in biological samples such as normal and tumor tissues (data points). Given such...
BMCBI
2008
13 years 10 months ago
2008
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...