Presentation | 2002/10/10 Sequential Pattern Learning based on Test Feature Classifier Yukinobu SAKATA, Shun'ichi KANEKO, Yuji TAKAGI, Hirohito OKUDA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Fundamental characteristics of sequential learning by Test Feature Classifier (TFC), which is non-parametric and effective even for small data, are examined. In the learning, after recognition of a set of unknown objects, they are feeded into the classifier in order to obtain a modified clasifier. We propose an efficient algorithm for reconstruction of prime tests, which are irreducible combinations of features capable to discriminate training patterns into correct classes, is formalized in cases of addition and removal of training patterns. Some strategies for the modification of the training set are investigated with respect to their precision and performance by use of real pattern data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | classification / test feature classifier / sequential learning / innovation strategy |
Paper # | NC2002-48 |
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Committee | NC |
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Conference Date | 2002/10/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Sequential Pattern Learning based on Test Feature Classifier |
Sub Title (in English) | |
Keyword(1) | classification |
Keyword(2) | test feature classifier |
Keyword(3) | sequential learning |
Keyword(4) | innovation strategy |
1st Author's Name | Yukinobu SAKATA |
1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
2nd Author's Name | Shun'ichi KANEKO |
2nd Author's Affiliation | Graduate School of Engineering, Hokkaido University |
3rd Author's Name | Yuji TAKAGI |
3rd Author's Affiliation | PERL, Hitachi Ltd |
4th Author's Name | Hirohito OKUDA |
4th Author's Affiliation | PERL, Hitachi Ltd |
Date | 2002/10/10 |
Paper # | NC2002-48 |
Volume (vol) | vol.102 |
Number (no) | 381 |
Page | pp.pp.- |
#Pages | 6 |
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