146 search results - page 4 / 30 » Boosting as a Metaphor for Algorithm Design |
CVPR
2012
IEEE
13 years 2 hour ago
2012
IEEE
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
108
click to vote
CPAIOR
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...
101
click to vote
PAKDD
2000
ACM
15 years 1 months ago
2000
ACM
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
GLVLSI
2005
IEEE
15 years 3 months ago
2005
IEEE
Embedded software is a preferred choice for implementing system functionality in modern System-on-Chip (SoC) designs, due to the high flexibility, and lower engineering costs pro...
NIPS
2004
14 years 11 months ago
2004
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...