107 search results - page 13 / 22 » General Loss Bounds for Universal Sequence Prediction |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— A predictive outage compensator co-located with the actuator node in a networked control system can be used to counteract unpredictable losses of data in the feedback control l...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
STOC
1997
ACM
13 years 11 months ago
1997
ACM
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...