The degree of personalization that a Web site offers in presenting its services to users is an
important attribute contributing to the site's popularity. Web server access logs contain …

The unsupervised algorithm of artificial intelligence (AI), named ART (Adaptive Resonance
Theory), is used to first roughly classify an image, that is, after the image is processed by the …

In this paper, we present a novel approach to group users according to their Web access
patterns. Our technique for grouping users is based on the ART1 neural network. We …

This paper is a proposal for the construction of a pseudo-net built with precisely defined
tokens describing the content and structure of the original WWW. This construction is derived …

Self-organization is one of the few theories that can explain significant aspects of
developmental neuroscience. Within the brain itself, various spatially organized regions, or …

Prediction of protein interactions is one of the central problems in post–genomic biology. In
this paper, we present an association rule-based protein interaction prediction method. We …

Abstract ÌHE AMOUNT OF DATA AVAILABLE to a mobile robot controller is staggering. This
thesis investigates how extensive continuous-valued data streams of noisy sensor and …

Feature contribution means that what features actually participates more in grouping data
patterns that maximizes the system's ability to classify object instances. In this paper …

This paper presents a comparative analysis of novel supervised fuzzy adaptive resonance
theory (SF-ART), multilayer perceptron (MLP) and competitive neural trees (CNeT) Networks …

Adaptive information filtering is concerned with filtering information streams in dynamic
(changing) environments. The changes may occur both on the transmission side—the …