Journal ArticleDOI
The immune system, adaptation, and machine learning
TLDR
A dynamical model for the immune system is described that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer, and has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system.About:
This article is published in Physica D: Nonlinear Phenomena.The article was published on 1986-10-01. It has received 1326 citations till now. The article focuses on the topics: Artificial immune system & Learning classifier system.read more
Citations
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Memory implementations : current alternatives
William Wilson,Uwe Aickelin +1 more
TL;DR: As the authors subtly alter their actions and recognise altered outcomes they learn and create new memories, enabling us to improve the efficiency of their actions over time.
Immune Inspired Memory Algorithms Applied to Unknown Motif Detection
TL;DR: This thesis investigates the application of principles inspired from the development of immune memory to the problem of unknown motif detection in time series data and presents the MTA, a genuinely unique solution to a valuable area of research that has considerable potential.
Journal ArticleDOI
A hybrid kernel principal component analysis and support vector machine model for analysing sonographic features of parotid glands in Sjogren's syndrome
TL;DR: Experimental results reveal that the developed model can classify Sjogren's syndrome data obtained from ultrasound in terms of efficiency and accuracy, showing that the presented KSVMIA model is a promising alternative for diagnosing Sjogsen's syndrome.
Journal ArticleDOI
A novel artificial immune clonal selection classification and rule mining with swarm learning model
TL;DR: This paper employed the advantages of PSO to improve the mutation mechanism of the artificial immune CSA and to mine classification rules within datasets and found the proposed algorithm required less training time and memory cells in comparison to other AIS algorithms.
Posted Content
RAILS: A Robust Adversarial Immune-inspired Learning System
Ren Wang,Tianqi Chen,Stephen Lindsly,Cooper Stansbury,Alnawaz Rehemtulla,Indika Rajapakse,Alfred O. Hero +6 more
TL;DR: In this article, a robust adversarial defense framework inspired by the adaptive immune system (RAILS) is proposed. But it is limited to image classification tasks, and it cannot be applied to other tasks, such as text classification.
References
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Journal ArticleDOI
Somatic generation of antibody diversity
TL;DR: In the genome of a germ-line cell, the genetic information for an immunoglobulin polypeptide chain is contained in multiple gene segments scattered along a chromosome which are assembled by recombination which leads to the formation of a complete gene.
Book ChapterDOI
A mathematical model illustrating the theory of turbulence
TL;DR: In this article, the application of statistical analysis and statistical mechanics to the problem of turbulent fluid motion has attracted much attention in recent years, and the authors investigated a complicated system of nonlinear equations, in order to find out enough about the properties of the solutions of these equations that insight can be obtained into the various patterns exhibited by the field and that data can be derived concerning the relative frequencies of these patterns in the hope that in this way a basis may be found for the calculation of important values.