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IEEEIAS
2008
IEEE
15 years 11 months ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
134
Voted
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 9 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 10 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
135
Voted
EH
2000
IEEE
114views Hardware» more  EH 2000»
15 years 9 months ago
Embryonics + Immunotronics: A Bio-Inspired Approach to Fault Tolerance
Fault tolerance has always been a standard feature of electronic systems intended for long-term missions. However, the high complexity of modern systems makes the incorporation of...
Daryl Bradley, Cesar Ortega-Sanchez, Andrew M. Tyr...
ICAPR
2009
Springer
15 years 11 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt