1. Similarity-based heterogeneous neurons in the context of general observational models
- Creator:
- Valdés, Julio J.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- general relatiorial structures, heterogeneous data, similarity functions, and heterogeneous neuron models
- Language:
- English
- Description:
- This paper preserits a framework for processing heterogeneous information based on the construction of general observational domains, and similarity-based function calculi sutable for data mining in domains which can be described by corresponding observational rnodels. These calculi are intuitive, sirnple, and sufřiciently general for classification and pattern recognition tasks. Functions in these calculi are represented by a particular kind of neuron rnodels and their behavior is illustrated with examples frorn real-world domains showing their capabilities in Processing heterogeneous, incornplete and fuzzy information.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public