Results 251 to 260 of about 248,407 (299)

Antigenic Mimicry, Clonal Selection and Autoimmunity

Journal of Autoimmunity, 2001
The triggering of autoimmunity by infection or immunization is often blamed on antigenic mimicry. But the concept of antigen mimicry impinges on our understanding of adaptive immunity in general, and not only on autoimmunity. Here are some thoughts about the consequences of immune mimicry.
openaire   +2 more sources

The cognitive principle challenges clonal selection

Immunology Today, 1992
Here, Irun Cohen argues that the clonal selection paradigm is no longer a convenient paradigm for organizing thinking about the immune system. He contends that most immunologists now investigate questions for which the clonal selection paradigm makes no provision and that one of its major tenets is contradicted by the prevalence of natural autoimmunity.
openaire   +2 more sources

Feature Selection Based on Clonal Selection Algorithm

2009
The problem of feature selection is fundamental in various tasks like classification, data mining, image processing, conceptual learning, and so on. Feature selection is usually used to achieve the same or better performance using fewer features.
Xiangrong Zhang, Fang Liu
openaire   +1 more source

Clonal Selection-Based Neural Classifier

2008 Eighth International Conference on Hybrid Intelligent Systems, 2008
Artificial immune systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This work is a first attempt of applying the clonal selection principle to the training of multi-layer perceptrons (MLPs).
A. Lanaridis, V. Karakasis, A. Stafylopatis   +2 more
openaire   +1 more source

Hybrid learning clonal selection algorithm

Information Sciences, 2015
Artificial immune system is a class of computational intelligence methods drawing inspiration from human immune system. As one type of popular artificial immune computing model, clonal selection algorithm (CSA) has been widely used for many optimization problems.
Yong Peng, Bao-Liang Lu
openaire   +1 more source

Clonal Origin and Clonal Selection in PNH

2017
Paroxysmal nocturnal haemoglobinuria (PNH) is a haemolytic anaemia with rather unique features; indeed, (a) it is also associated with features of bone marrow failure; (b) it is acquired but it is due to an intrinsic red cell abnormality; and (c) it is a clonal disorder of haematopoiesis, but it is not a malignancy.
openaire   +1 more source

Clonal Selection Algorithm for Classification

2011
Clonal selection principle based CLONALG is one of the most popular artificial immune system (AIS) models. It has been proposed to perform pattern matching and optimization task but has not been applied for classification tasks. Some work has been reported that accommodates CLONALG for classification but generally they do not perform well.
Anurag Sharma, Dharmendra Sharma
openaire   +1 more source

Clonal selection algorithms

Inspired by Darwin’s theory of natural selection to explain the diversity and adaptability of life, Burnet’s clonal selection theory explains the diversity and learning properties of the acquired immune system of vertebrates. In a similar mirroring manner to the field of evolutionary computation that attempts to use the principles of the Darwinian ...
openaire   +1 more source

Clonal Selection and Network Regulation

1976
This article will be concerned with the process of diversification during the ontogenic development of the immune system. We shall advance the thesis that diversification is not only a problem of the phylogenetic and ontogenetic origin of multiple V-region genes, but also a problem of the population dynamics of the set of unispecific lymphocyte clones ...
E. Weiler, G. Adam, W. Schuler, I. J. Weiler   +3 more
openaire   +1 more source

Parameter-free, adaptive clonal selection

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753), 2004
The 'clonal selection' approach to optimization - an abstraction of immune system adaptation, popularized mainly by de Castro and Von Zuben - may have reached something of an impasse. The method requires several parameters that must be tuned, and it normally uses a binary representation that can limit the accuracy of the results.
openaire   +1 more source