1578 search results - page 8 / 316 » Temporal Data Classification Using Linear Classifiers |
BMCBI
2008
13 years 7 months ago
2008
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
HIS
2004
13 years 9 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
SDM
2008
SIAM
13 years 9 months ago
2008
SIAM
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
KDD
2000
ACM
13 years 11 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
2006
13 years 7 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...