84 search results - page 7 / 17 » Negative Training Data Can be Harmful to Text Classification |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
AAAI
1998
14 years 11 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...
AINA
2004
IEEE
15 years 1 months ago
2004
IEEE
Abstract-- As intrusion detection essentially can be formulated as a binary classification problem, it thus can be solved by an effective classification technique-Support Vector Ma...