Presentation | 1994/10/13 Acquisition of Internal Representation using Overload learning - Case Study of Learning Identity-function- Itsuki Noda, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Acquisition of internal representation by learning identity- functions is important for feature-abstraction.It is,however, difficult to decide the number of hidden units.I apply the overload learning(OLL) technique to overcome this problem.Because OLL causes to reduce the number of effective dimensions of hidden patterns,networks can gets reduced internal representation by learning.Moreover,I show that this technique is useful to get spatial representation from symbolic representation and to integrate various information. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | overload learning / internal representation / identity function / feature abstraction / information integration |
Paper # | NC94-34 |
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Committee | NC |
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Conference Date | 1994/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Acquisition of Internal Representation using Overload learning - Case Study of Learning Identity-function- |
Sub Title (in English) | |
Keyword(1) | overload learning |
Keyword(2) | internal representation |
Keyword(3) | identity function |
Keyword(4) | feature abstraction |
Keyword(5) | information integration |
1st Author's Name | Itsuki Noda |
1st Author's Affiliation | Electro technical Laboratory() |
Date | 1994/10/13 |
Paper # | NC94-34 |
Volume (vol) | vol.94 |
Number (no) | 272 |
Page | pp.pp.- |
#Pages | 8 |
Date of Issue |