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Design of Pattern Classifiers with the Updating Property Using Stochastic Approximation Techniques
S. S. Yau
, J. M. Schumpert
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
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Dive into the research topics of 'Design of Pattern Classifiers with the Updating Property Using Stochastic Approximation Techniques'. Together they form a unique fingerprint.
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Mathematics
Stochastic Approximation
100%
Classifier
97%
Updating
94%
Design
53%
Training
45%
Least Mean Square
31%
Discriminant Function
28%
Mean square error
21%
Convex function
18%
Rate of Convergence
16%
Optimization
16%
Arbitrary
11%
Engineering & Materials Science
Classifiers
61%
Mean square error
39%