On the Flexibility of Theoretical Models for Pattern Recognition
Year: 2005
Type: article
Abstract: This thesis is devoted to relaxing certain theoretical assumptions in pattern recognition models. In pattern recognition a predictor is trying to guess a discrete label of some object (usually a real vector), based on given examples of object-label pairs. Pattern recognition was
Author: Daniil Riabko
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2121048308
