119 search results - page 19 / 24 » Web-scale classification with naive bayes |
ICML
2006
IEEE
14 years 7 months ago
2006
IEEE
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
ICML
2000
IEEE
14 years 7 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
WWW
2005
ACM
14 years 7 months ago
2005
ACM
Taxonomies of the Web typically have hundreds of thousands of categories and skewed category distribution over documents. It is not clear whether existing text classification tech...
AVBPA
2005
Springer
14 years 7 days ago
2005
Springer
Most of the prior work in biometric literature has only emphasized on the issue of feature extraction and classification. However, the critical issue of examining the usefulness of...
GECCO
2006
Springer
13 years 10 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...