Output details
11 - Computer Science and Informatics
University of Westminster
Chapter title
An evolutionary approximation for the coefficients of decision functions within a support vector machine learning strategy
Type
C - Chapter in book
Publisher of book
Springer
Book title
Foundations of computational intelligence
ISBN of book
9783642010811
Year of publication
2009
Number of additional authors
4
Additional information
<15>Originality: This paper proposes an evolutionary learning technique that resembles the vision upon learning of support vector machines (SVM) but solves the inherent optimization problem by means of an evolutionary algorithm (EA).
Significance: An easier and more flexible alternative to SVM is proposed and undergoes several novel enhancements in order to provide a viable alternative to the classical paradigm.
Rigour: Computational results show the validated of this novel approach.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
