1062 search results - page 21 / 213 » Sublinear Optimization for Machine Learning |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
We describe an algorithm for learning in the presence of multiple criteria. Our technique generalizes previous approaches in that it can learn optimal policies for all linear pref...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
This paper presents an active learning method that directly optimizes expected future error. This is in contrast to many other popular techniques that instead aim to reduce versio...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Video Compression currently is dominated by engineering and fine-tuned heuristic methods. In this paper, we propose to instead apply the well-developed machinery of machine learni...