928 search results - page 68 / 186 » The Convergence Rate of AdaBoost |
MOR
2010
13 years 8 months ago
2010
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L(x, y) = f(x)+Q(x, y)+g(y), where f : Rn → ...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
GLOBECOM
2009
IEEE
14 years 1 months ago
2009
IEEE
In this paper we discuss the design of optimization algorithms for cognitive wireless networks (CWNs). Maximizing the perceived network performance towards applications by selectin...
COLT
2008
Springer
13 years 11 months ago
2008
Springer
Standard no-internal-regret (NIR) algorithms compute a fixed point of a matrix, and hence typically require O(n3 ) run time per round of learning, where n is the dimensionality of...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...