Provides evidence that modular learning is helpful in improving learning performance. Numerous approaches were tested including decomposition of learning into modules using various learning types (supervised and unsupervised learning); decomposition of the mapping to be represented (linear and nonlinear parts); decomposition of the neural network to minimize harmful interaction during learning; decomposition of the application task into subtasks that are learned separately; and decomposition into a knowledge-based part and a learning part. These methods were tested on two ``benchmark'' cases--a medical classification problem (7,200 cases of thyroid disorder) and a handwritten digits classification problem (20,000 cases).
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Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Seller Inventory # OTV.0471571547.G
Seller: Ammareal, Morangis, France
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Seller: Alcaná Libros, Madrid, M, Spain
tapa dura. Condition: Bien. Modular learning in neural networks : a modularized approach to neural network classification New York. 1992. 25 cm. xiii, 235 pages. Encuadernación en tapa dura de editorial con sobrecubierta. Idioma Inglés. Sixth-generation computer technology series. Includes index . ISBN: 0471571547 (=3134558=) PC188. Seller Inventory # 3134558
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Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 235 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar. Seller Inventory # 37408107/202
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