74 search results - page 14 / 15 » Ensemble Approach for the Classification of Imbalanced Data |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of learning a classification task in which only a dissimilarity function of the objects is accessible. That is, data are not represented by feature vectors bu...
WWW
2007
ACM
15 years 10 months ago
2007
ACM
Often scientists seek to search for articles on the Web related to a particular chemical. When a scientist searches for a chemical formula using a search engine today, she gets ar...
KDD
2003
ACM
15 years 10 months ago
2003
ACM
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
BMCBI
2010
14 years 9 months ago
2010
Background: Use of alternative gene promoters that drive widespread cell-type, tissue-type or developmental gene regulation in mammalian genomes is a common phenomenon. Chromatin ...
93
Voted
TNN
2010
14 years 4 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...