928 search results - page 132 / 186 » The Rate of Convergence of AdaBoost |
ICASSP
2011
IEEE
13 years 12 days ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
CEC
2011
IEEE
12 years 8 months ago
2011
IEEE
—Despite the range of applications and successes of evolutionary algorithms, expensive fitness computations often form a critical performance bottleneck. A preferred method of r...
ISCAS
2006
IEEE
14 years 2 months ago
2006
IEEE
that the equivalent channel is approximately an impulse. In [7], Martin et al. propose a globally convergent blind adap-In this paper, we propose a frequency domain based de- tive ...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
We study the problem of maximizing the broadcast rate in peer-to-peer (P2P) systems under node degree bounds, i.e., the number of neighbors a node can simultaneously connect to is ...