2665 search results - page 205 / 533 » Bundle Methods for Machine Learning |
90
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SEAL
1998
Springer
15 years 6 months ago
1998
Springer
Abstract. In this paper, we discuss an approach to an operator scheduling problem in a large organization over time with the aim of maintaining service quality and reducing total l...
131
Voted
ACL
2008
15 years 4 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
171
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NIPS
2008
15 years 4 months ago
2008
The Singular Value Decomposition is a key operation in many machine learning methods. Its computational cost, however, makes it unscalable and impractical for applications involvi...
132
Voted
RECOMB
2005
Springer
16 years 2 months ago
2005
Springer
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
108
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...