Two Bayesian treatments of the n-tuple recognition method
Rohwer, R.J.
Aston Univ., Birmingham;
This paper appears in: Artificial Neural Networks, 1995., Fourth International Conference on
Publication Date: 26-28 Jun 1995
On page(s): 171-176
Meeting Date: 06/26/1995 - 06/28/1995
Location: Cambridge, UK
ISBN: 0-85296-641-5
References Cited: 10
INSPEC Accession Number: 5211489
Current Version Published: 2002-08-06
Abstract
Two probabilistic interpretations of the n-tuple recognition
method are put forward in order to allow this technique to be analysed
with the same Bayesian methods used in connection with other neural
network models. Elementary demonstrations are then given of the use of
maximum likelihood and maximum entropy methods for tuning the model
parameters and assisting their interpretation. One of the models can be
used to illustrate the significance of overlapping n-tuple samples with
respect to correlations in the patterns
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
