1006 search results - page 123 / 202 » A Case Study for Learning from Imbalanced Data Sets |
MCS
2000
Springer
14 years 1 months ago
2000
Springer
Abstract Investigating a data set of the critical size makes a classification task difficult. Studying dissimilarity data refers to such a problem, since the number of samples equa...
CHI
2003
ACM
14 years 10 months ago
2003
ACM
This case study describes ethnographic interviews with vehicle buyers to learn how they make purchase decisions. The research was conducted for J. Walter Thompson (JWT), the digit...
IDA
2002
Springer
13 years 10 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...
BMCBI
2004
13 years 10 months ago
2004
Background: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals ...
BMCBI
2005
13 years 10 months ago
2005
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...