1012 search results - page 168 / 203 » A Learning Classifier Approach to Tomography |
IDA
2006
Springer
13 years 8 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
CIKM
2004
Springer
14 years 15 days ago
2004
Springer
Recommender systems have been subject to an enormous rise in popularity and research interest over the last ten years. At the same time, very large taxonomies for product classifi...
AAAI
2004
13 years 10 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
KDD
2012
ACM
11 years 11 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...