103 search results - page 5 / 21 » Online kernel density estimation for interactive learning |
170
Voted
NIPS
2007
15 years 7 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...
158
Voted
CORR
2010
Springer
15 years 6 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...
217
Voted
SDM
2012
SIAM
13 years 8 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...
140
Voted
PRL
2000
15 years 6 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 ...
152
Voted
ACSAC
2006
IEEE
16 years 13 days 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...