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CCS
2009
ACM
15 years 4 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
66
Voted
CIKM
2009
Springer
15 years 4 months ago
On domain similarity and effectiveness of adapting-to-rank
Adapting to rank address the the problem of insufficient domainspecific labeled training data in learning to rank. However, the initial study shows that adaptation is not always...
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
EDBT
2002
ACM
120views Database» more  EDBT 2002»
15 years 9 months ago
Hyperdatabases: Infrastructure for the Information Space
The amount of stored information is exploding while, at the same time, tools for accessing relevant information are rather under-developed. Usually, all users have a pre-defined vi...
Hans-Jörg Schek
91
Voted
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 2 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
WWW
2004
ACM
15 years 10 months ago
Web image learning for searching semantic concepts in image databases
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
Chu-Hong Hoi, Michael R. Lyu