178 search results - page 18 / 36 » A comparative evaluation on the accuracies of software effor... |
BMCBI
2010
13 years 8 months ago
2010
Background: Modern high throughput experimental techniques such as DNA microarrays often result in large lists of genes. Computational biology tools such as clustering are then us...
AAAI
1998
13 years 9 months ago
1998
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
AICCSA
2006
IEEE
13 years 9 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
IDA
2002
Springer
13 years 7 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
BIODATAMINING
2008
13 years 8 months ago
2008
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...