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ICONIP
1998
13 years 5 months ago
Automated Text Categorization Using Support Vector Machine
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
James Tin-Yau Kwok
ICONIP
1998
13 years 5 months ago
Blind Separation for Convolutive Mixtures of Non-stationary Signals
Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour...
ICONIP
1998
13 years 5 months ago
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm
The paper presents a framework called ECOS for Evolving COnnectionist Systems. ECOS evolve through incremental learning. They can accommodate any new input data, including new fea...
Nikola K. Kasabov
ICONIP
1998
13 years 5 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
ICONIP
1998
13 years 5 months ago
Translation of Motivation into Action in the Basal Ganglia
Okihide Hikosaka, Reiko Kawagoe, Yoriko Takikawa
ICONIP
1998
13 years 5 months ago
Statistical Methods for Construction of Neural Networks
Despite all the progress in neural networks the technology is still brittle and sometimes difficult to apply. Automatic construction of networks and proper initialization of their...
Wlodzislaw Duch, Rafal Adamczak
ICONIP
1998
13 years 5 months ago
A Neural Network Model of Visual Object Recognition Impairments after Brain Damage
Dysfunction of the visual object recognition system in humans is briefly discussed and a basic connectionist model of visual object recognition is introduced. Experimentation in w...
Neil Davey, Ray J. Frank, Tim M. Gale, Stella J. G...
ICONIP
1998
13 years 5 months ago
An Application of ELISA to Perfect Hashing with Deterministic Ordering
This paper describes a practical application of a novel terminal attractor algorithm to the construction of Perfect Hash Functions (PHF) for a prede ned set of keys. The proposed ...
Monica Bianchini, Stefano Fanelli, Marco Gori
ICONIP
1998
13 years 5 months ago
Inducing Relational Concepts with Neural Networks via the LINUS System
This paper presents a method to induce relational concepts with neural networks using the inductive logic programming system LINUS. Some first-order inductive learning tasks taken...
Rodrigo Basilio, Gerson Zaverucha, Artur S. d'Avil...