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» Hierarchical Text Categorization Using Neural Networks
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SIGIR
2000
ACM
15 years 1 months ago
Hierarchical classification of Web content
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...
Susan T. Dumais, Hao Chen
91
Voted
ICDAR
2005
IEEE
15 years 3 months ago
Data categorization for a context return applied to logical document structure recognition
The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns co...
Yves Rangoni, Abdel Belaïd
96
Voted
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
15 years 2 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
TSMC
2008
162views more  TSMC 2008»
14 years 9 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
64
Voted
IJON
2008
73views more  IJON 2008»
14 years 9 months ago
Third-order generalization: A new approach to categorizing higher-order generalization
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
Richard Neville