| Title:
|
Piecewise linear classifiers preserving high local recognition rates (English) |
| Author:
|
Tenmoto, Hiroshi |
| Author:
|
Kudo, Mineichi |
| Author:
|
Shimbo, Masaru |
| Language:
|
English |
| Journal:
|
Kybernetika |
| ISSN:
|
0023-5954 |
| Volume:
|
34 |
| Issue:
|
4 |
| Year:
|
1998 |
| Pages:
|
[479]-484 |
| Summary lang:
|
English |
| . |
| Category:
|
math |
| . |
| Summary:
|
We propose a new method to construct piecewise linear classifiers. This method constructs hyperplanes of a piecewise linear classifier so as to keep the correct recognition rate over a threshold for a training set. The threshold is determined automatically by the MDL (Minimum Description Length) criterion so as to avoid overfitting of the classifier to the training set. The proposed method showed better results in some experiments than a previous method. (English) |
| Keyword:
|
piecewise linear classifiers |
| Keyword:
|
clustering |
| Keyword:
|
recognition rates |
| MSC:
|
68T10 |
| MSC:
|
68U99 |
| idZBL:
|
Zbl 1274.68395 |
| . |
| Date available:
|
2009-09-24T19:19:35Z |
| Last updated:
|
2015-03-28 |
| Stable URL:
|
http://hdl.handle.net/10338.dmlcz/135235 |
| . |
| Reference:
|
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| Reference:
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| . |
