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» Learning of Boolean Functions Using Support Vector Machines
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GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
14 years 1 months ago
Is negative selection appropriate for anomaly detection?
Negative selection algorithms for hamming and real-valued shape-spaces are reviewed. Problems are identified with the use of these shape-spaces, and the negative selection algori...
Thomas Stibor, Philipp H. Mohr, Jonathan Timmis, C...
HAIS
2010
Springer
14 years 14 days ago
CBRid4SQL: A CBR Intrusion Detector for SQL Injection Attacks
One of the most serious security threats to recently deployed databases has been the SQL Injection attack. This paper presents an agent specialised in the detection of SQL injectio...
Cristian Pinzón, Álvaro Herrero, Jua...
ICONIP
2008
13 years 9 months ago
A Hybrid Fuzzy Approach for Human Eye Gaze Pattern Recognition
Abstract. Face perception and text reading are two of the most developed visual perceptual skills in humans. Understanding which features in the respective visual patterns make the...
Dingyun Zhu, B. Sumudu U. Mendis, Tom Gedeon, Aksh...
NIPS
2004
13 years 9 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
IJAIT
2006
121views more  IJAIT 2006»
13 years 7 months ago
An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection
We present an efficient feature selection algorithm for computer aided detection (CAD) computed tomographic (CT) colonography. The algorithm 1) determines an appropriate piecewise...
Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas...