42388 search results - page 301 / 8478 » Classification Using Information |
172
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ASUNAM
2010
IEEE
15 years 8 months ago
2010
IEEE
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...
165
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SDM
2010
SIAM
15 years 8 months ago
2010
SIAM
The Passive Aggressive framework [1] is a principled approach to online linear classification that advocates minimal weight updates i.e., the least required so that the current tr...
172
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ENGL
2007
15 years 6 months ago
2007
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
174
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DRR
2009
15 years 4 months ago
2009
When is it safe to use synthetic data in supervised classification? Trainable classifier technologies require large representative training sets consisting of samples labeled with...
194
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EMNLP
2009
15 years 4 months ago
2009
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...