95 search results - page 6 / 19 » Reduction Techniques for Instance-Based Learning Algorithms |
ISMIS
2005
Springer
15 years 3 months ago
2005
Springer
With the rapid advancement of information technology, scalability has become a necessity for learning algorithms to deal with large, real-world data repositories. In this paper, sc...
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TIP
2010
14 years 4 months ago
2010
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
Current Information Retrieval systems use inverted index structures for efficient query processing. Due to the extremely large size of many data sets, these index structures are u...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Theoretical and experimental analyses of bagging indicate that it is primarily a variance reduction technique. This suggests that bagging should be applied to learning algorithms ...