Results 231 to 240 of about 1,097,686 (283)

An outlier robust negative selection algorithm

2009 ISECS International Colloquium on Computing, Communication, Control, and Management, 2009
Traditional negative selection algorithms do not perform any differentiation for training self dataset and only use the mechanism of negative selection. They will generate excessive invalid detectors and have poor detection performance when the training selves contain noisy data. In this paper, an outlier robust algorithm is proposed. The new algorithm
Guiyang Li, Tao Li, Haibo Li, Jie Zeng
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Negative selection algorithms without generating detectors

Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of the negative examples, and these detectors are then matched against the elements to be classified.
Maciej Liśkiewicz, Johannes Textor
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Negative selection based shadow detection algorithm

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Shadow regions are detected as objects at image segmentation, object detection and tracking applications. So, it affects negatively the accuracy and performance of algorithms. In this study, artificial immune system- based negative selection algorithm (YBSG) is proposed in order to determine shadow region.
Kazim Firildak, Mehmet Karakose
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Hybrid Detector Based Negative Selection Algorithm

2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, 2009
A new algorithm of detector generation for negative selection algorithm is introduced by adding a big detector to reach a high coverage of non-self space. While the big detector can be variable in different shape using this concept, the paper puts forward an algorithm using a ring-hyper-sphere shaped detector as a big detector.
Bin Xu, Yi Zhuang
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Receptor editing-inspired negative selection algorithm

2010 International Conference on Machine Learning and Cybernetics, 2010
Inspired by theory of biological immune receptor editing, this paper proposes and implements a receptor editing-inspired negative selection algorithm (RENSA). Using directional receptor editing for identifying same nearest selves, the algorithm can simultaneously adjust the position and radius of detectors to expand coverage of non-self space ...
Gui-Yang Li, Tao Guo
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Study on extension negative selection algorithm

International Journal of High Performance Computing and Networking, 2016
Aimed at the problems of low generation efficiency, serious redundancy and poor matching capability of detectors, the extension negative selection algorithm ENSA is proposed by fusing extenics and artificial intelligence system. The basic conceptions of ENSA are described by basic element, and the affinity between detector and antigen or antibody is ...
Tianzhu Wen, Aiqiang Xu, Jiayu Tang
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Genetic Algorithms-based Detector Generation in Negative Selection Algorithm

2006 IEEE Mountain Workshop on Adaptive and Learning Systems, 2006
This paper proposes a Genetic Algorithms (GA)-based detector optimization scheme in the Negative Selection Algorithm (NSA). The NSA is a natural immune response inspired pattern discrimination method. In our scheme, the NSA detectors are optimized by the GA to occupy the maximal coverage of the nonself space so that they can achieve the best anomaly ...
X. Gao, S. Ovaska, X. Wang
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QoS-aware web service selection with negative selection algorithm

Knowledge and Information Systems, 2013
Web service selection, as an important part of web service composition, has direct influence on the quality of composite service. Many works have been carried out to find the efficient algorithms for quality of service (QoS)-aware service selection problem in recent years.
Xinchao Zhao, Zichao Wen, Xingmei Li
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Unified Negative Selection Algorithm for Anomaly Detection

2006 6th World Congress on Intelligent Control and Automation, 2006
A novel negative selection algorithm is presented, which is inspired by the negative selection mechanism of the immune system that can detect foreign patterns in the complement (nonself) space. In the algorithm, the pattern space is unified into a certain interval and the foreign pattern detectors (in the complement space) are defined in the form of ...
null Meng Bai, null Xiaoguang Zhao, null Zeng-Guang Hou, null Min Tan   +3 more
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Distribution estimation based negative selection algorithm (DENSA)

2015 International Workshop on Artificial Immune Systems (AIS), 2015
The Negative Selection Algorithm is an anomaly detection technique, inspired by the self-nonself discrimination behavior observed in the Biological Immune Systems. The most controversial problem of the negative selection algorithm is its inherent limitation in detecting foreign patterns as anomalies.
Sajjad Fouladvand, Alireza Osareh, Bita Shadgar   +2 more
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