3050 search results - page 38 / 610 » On-line Algorithms in Machine Learning |
170
Voted
ICML
2000
IEEE
16 years 3 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...
127
Voted
GECCO
2000
Springer
15 years 6 months ago
2000
Springer
This paper shows how linguistic classification knowledge can be extracted from numerical data for pattern classification problems with many continuous attributes by genetic algori...
138
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SAC
2005
ACM
15 years 8 months ago
2005
ACM
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
123
Voted
ACL
2012
13 years 5 months ago
2012
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
96
Voted
CIMCA
2005
IEEE
15 years 8 months ago
2005
IEEE
Opposition-based learning as a new scheme for machine intelligence is introduced. Estimates and counter-estimates, weights and opposite weights, and actions versus counter-actions...