2898 search results - page 260 / 580 » Ensemble Methods in Machine Learning |
COLT
1999
Springer
14 years 21 days ago
1999
Springer
We propose a new boosting algorithm. This boosting algorithm is an adaptive version of the boost by majority algorithm and combines bounded goals of the boost by majority algorith...
SEAL
1998
Springer
14 years 18 days 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...
ACL
2008
13 years 10 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...
NIPS
2008
13 years 9 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...
RECOMB
2005
Springer
14 years 8 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 ...