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CCS
2009
ACM
16 years 1 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...
OZCHI
2006
ACM
16 years 22 days ago
A wearable folding display for self-expression
This paper proposes the design rationale of a wearable display that is able to convey the behavioral typology of its wearers by merging insights from wearable computing, aesthetic...
Andrew Vande Moere, Monika Hoinkis
KDD
2004
ACM
124views Data Mining» more  KDD 2004»
16 years 4 days ago
Incorporating prior knowledge with weighted margin support vector machines
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Xiaoyun Wu, Rohini K. Srihari
BIB
2008
88views more  BIB 2008»
15 years 6 months ago
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families...
Sudhir Kumar, Masatoshi Nei, Joel Dudley, Koichiro...
TWC
2008
114views more  TWC 2008»
15 years 6 months ago
Two dimensional cross-layer optimization for packet transmission over fading channel
In this paper a single-input-single-output wireless data transmission system with adaptive modulation and coding over correlated fading channel is considered, where run-time power ...
Xiaofeng Bai, Abdallah Shami