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» Improving Cause Detection Systems with Active Learning
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ACSAC
1999
IEEE
14 years 2 months ago
An Application of Machine Learning to Network Intrusion Detection
Differentiating anomalous network activity from normal network traffic is difficult and tedious. A human analyst must search through vast amounts of data to find anomalous sequenc...
Chris Sinclair, Lyn Pierce, Sara Matzner
OSDI
2008
ACM
14 years 10 months ago
Empirical Comparison of Techniques for Automated Failure Diagnosis
Automated techniques to diagnose the cause of system failures based on monitoring data is an active area of research at the intersection of systems and machine learning. In this p...
Songyun Duan, Shivnath Babu
AVSS
2006
IEEE
14 years 3 months ago
Learning Foveal Sensing Strategies in Unconstrained Surveillance Environments
In this paper we report on techniques for automatically learning foveal sensing strategies for an active pan-tiltzoom camera. The approach uses reinforcement learning to discover ...
Andrew D. Bagdanov, Alberto Del Bimbo, Walter Nunz...
ICASSP
2011
IEEE
13 years 1 months ago
Online learning with minority class resampling
This paper considers using online binary classification for target detection where the goal is to identify signals of interest within a sequence of received signals generated by ...
Michael J. Pekala, Ashley J. Llorens
CVPR
2010
IEEE
14 years 6 months ago
Far-Sighted Active Learning on a Budget for Image and Video Recognition
Active learning methods aim to select the most informative unlabeled instances to label first, and can help to focus image or video annotations on the examples that will most impr...
Sudheendra Vijayanarasimhan, Prateek Jain, Kristen...