103 search results - page 5 / 21 » Online kernel density estimation for interactive learning |
NIPS
2007
14 years 11 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
We study online learning when individual instances are corrupted by adversarially chosen random noise. We assume the noise distribution is unknown, and may change over time with n...
116
click to vote
SDM
2012
SIAM
12 years 12 months ago
2012
SIAM
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
PRL
2000
14 years 9 months ago
2000
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
ACSAC
2006
IEEE
15 years 3 months ago
2006
IEEE
We propose an architecture of four complimentary technologies increasingly relevant to a growing number of home users and organizations: cryptography, separation kernels, formal v...