993 search results - page 124 / 199 » The Complexity of Probabilistic EL |
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
SIGMOD
2006
ACM
14 years 8 months ago
2006
ACM
We propose to demonstrate Fa, an automated tool for timely and accurate prediction of Service-Level-Agreement (SLA) violations caused by performance problems in database systems. ...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Identification of regulatory signals in DNA depends on the nature and quality of the patterns of representative sequences. These patterns are constructed from training sets of se...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
—Simultaneous Localization And Mapping (SLAM) is one of the major challenges in mobile robotics. Probabilistic techniques using high-end range finding devices are well establishe...
IROS
2008
IEEE
14 years 2 months ago
2008
IEEE
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...