1863 search results - page 84 / 373 » A supervised learning approach for imbalanced data sets |
EWCBR
2006
Springer
14 years 1 months ago
2006
Springer
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
WWW
2010
ACM
14 years 5 months ago
2010
ACM
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
KDD
2006
ACM
14 years 10 months ago
2006
ACM
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classif...
ECML
2007
Springer
14 years 4 months ago
2007
Springer
Choosing a suitable feature representation for structured data is a non-trivial task due to the vast number of potential candidates. Ideally, one would like to pick a small, but in...