We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the "context window", i.e., given a state variable, the "context window" is the set of state variables that directly or indirectly contribute to its determination. On the basis of this definition, a formal and compact expression describing the "context windows" for the CRCC, and RCC model, are derived.

Formal Determination of Context in Contextual Recursive Cascade Correlation Networks

SPERDUTI, ALESSANDRO
2003

Abstract

We consider the Contextual Recursive Cascade Correlation model (CRCC), a model able to learn contextual mappings in structured domains. We propose a formal characterization of the "context window", i.e., given a state variable, the "context window" is the set of state variables that directly or indirectly contribute to its determination. On the basis of this definition, a formal and compact expression describing the "context windows" for the CRCC, and RCC model, are derived.
2003
ARTIFICIAL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003
3540404082
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/1369512
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