Similarity-Based Heterogeneous Neurons in the Context of General Observational Models

Download	View accepted manuscript: Similarity-Based Heterogeneous Neurons in the Context of General Observational Models (PDF, 924 KiB)
Author	Search for: Valdés, Julio
Format	Text, Article
Conference	Neural Network World, November 2002.
Subject	general relational structures; heterogeneous data; similarity functions; heterogeneous neuron models; données hétérogènes; fonctions de similarité; modèles de neurones hétérogènes
Abstract	This paper presents a framework for processing heterogeneous information based on the construction of general observational domains, and similarity-based function calculi suitable for data mining in domains which can be described by the corresponding observational models. These calculi are intuitive, simple, and sufficiently general for classification and pattern recognition tasks. Functions in these calculi are represented by a particular kind of neuron models and their behavior is illustrated with examples from real-world domains showing their capabilities in processing heterogeneous, incomplete and fuzzy information.
Publication date	2002
Language	English
NRC number	NRCC 45822
NPARC number	5763862
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Record identifier	423d2851-694a-46b6-884b-24087efe21b2
Record created	2009-03-29
Record modified	2020-03-30