450 search results - page 49 / 90 » Adaptive Algorithms for Online Decision Problems |
EMO
2009
Springer
14 years 2 months ago
2009
Springer
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is a variable-metric algorithm for real-valued vector optimization. It maintains a parent population...
SODA
2008
ACM
13 years 9 months ago
2008
ACM
We consider the problem of minimizing average latency cost while obliviously routing traffic in a network with linear latency functions. This is roughly equivalent to minimizing t...
ICONIP
2009
13 years 5 months ago
2009
In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
GECCO
2009
Springer
13 years 5 months ago
2009
Springer
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
EPIA
2003
Springer
14 years 1 months ago
2003
Springer
Most of supervised learning algorithms assume the stability of the target concept over time. Nevertheless in many real-user modeling systems, where the data is collected over an ex...