Loading…
PRELIMINARY NOTE ON THE CLASSIFICATION OF VECTORS WITH SOME UNKNOWN DESCRIPTORS
The problem of pattern classification based upon incomplete vectors was introduced in an earlier paper, where we discussed four possible methods of solution. Of these, only two appeared to be promising as a solution to the general problem. In one of them (a), we envisaged that a multi-dimensional Mo...
Saved in:
Published in: | Kybernetes 1975-02, Vol.4 (2), p.105-109 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | The problem of pattern classification based upon incomplete vectors was introduced in an earlier paper, where we discussed four possible methods of solution. Of these, only two appeared to be promising as a solution to the general problem. In one of them (a), we envisaged that a multi-dimensional Monte-Carlo integration would be needed, while the other procedure (b) required the use of a large store. In this paper, we show how the long integration may be avoided in procedure (a). This is feasible if we use one of a certain class of p.d.f. estimators. We also show that these p.d.f. estimators have certain desirable properties in Method (b). |
---|---|
ISSN: | 0368-492X |
DOI: | 10.1108/eb005385 |