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» MILA - Multilevel Immune Learning Algorithm
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PCM
2004
Springer
106views Multimedia» more  PCM 2004»
14 years 23 days ago
An Immunological Approach to Raising Alarms in Video Surveillance
Inspired by the human immune system, and in particular the negative selection algorithm, we propose a learning mechanism that enables the detection of abnormal activities. Three ty...
Lukman Sasmita, Wanquan Liu, Svetha Venkatesh
GECCO
2008
Springer
229views Optimization» more  GECCO 2008»
13 years 8 months ago
EIN-WUM: an AIS-based algorithm for web usage mining
With the ever expanding Web and the information published on it, effective tools for managing such data and presenting information to users based on their needs are becoming nece...
Adel Torkaman Rahmani, B. Hoda Helmi
TEC
2002
133views more  TEC 2002»
13 years 7 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 28 days ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
CEC
2007
IEEE
14 years 1 months ago
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier
— AIRS (Artificial Immune Recognition System) has shown itself to be a competitive classifier. It has also proved to be the most popular immune inspired classifier. However, rath...
Andrew Secker, Alex Alves Freitas