424 search results - page 34 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
GECCO
2010
Springer
14 years 11 days ago
2010
Springer
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Genetic algorithms (GAs) used in complex optimization domains usually need to perform a large number of fitness function evaluations in order to get near-optimal solutions. In rea...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
STOC
2012
ACM
11 years 10 months ago
2012
ACM
We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an ndimensional signal. We show: • An O(k log n)-time randomized algorithm f...
JMLR
2010
13 years 6 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...