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EUSFLAT
2009
125views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
A Dynamic Classification Method for the Discrimination of Evolving Data
Classes issued of evolving systems are dynamic and their characteristics vary over the time. Assigning a pattern to a class is achieved using a classifier. Therefore, the classifie...
Laurent Hartert, Moamar Sayed Mouchaweh, Patrice B...
ASUNAM
2010
IEEE
13 years 11 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
IDEAL
2009
Springer
13 years 7 months ago
Optimizing Data Transformations for Classification Tasks
Many classification algorithms use the concept of distance or similarity between patterns. Previous work has shown that it is advantageous to optimize general Euclidean distances (...
José María Valls, Ricardo Aler
IJDLS
2010
108views more  IJDLS 2010»
13 years 7 months ago
Sampling the Web as Training Data for Text Classification
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
Wei-Yen Day, Chun-Yi Chi, Ruey-Cheng Chen, Pu-Jen ...
SIGSOFT
2005
ACM
14 years 10 months ago
Applying classification techniques to remotely-collected program execution data
There is an increasing interest in techniques that support measurement and analysis of fielded software systems. One of the main goals of these techniques is to better understand ...
Murali Haran, Alan F. Karr, Alessandro Orso, Adam ...