1799 search results - page 177 / 360 » Filtered Reinforcement Learning |
119
click to vote
CEAS
2006
Springer
15 years 8 months ago
2006
Springer
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
144
click to vote
ICIG
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
143
click to vote
IDA
2007
Springer
15 years 4 months ago
2007
Springer
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two extended variants. A set of seven mailboxes comprising about 65,000 mails f...
110
click to vote
CEAS
2004
Springer
15 years 10 months ago
2004
Springer
Abstract. We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct eff...
151
click to vote
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...