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Author: Nicolas Cebron

Affiliation: University of Augsburg, Germany

Keyword(s): Supervised learning, Active learning, Object hierarchy.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Interactive and Online Data Mining ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Mining Multimedia Data ; Soft Computing ; Symbolic Systems

Abstract: In most supervised learning tasks, objects are perceived as a collection of fixed attribute values. In this work, we try to extend this notion to a hierarchy of attribute sets with different levels of quality. When we are given the objects in this representation, we might consider to learn from most examples at the lowest quality level and only to enhance a few examples for the classification algorithm. We propose an approach for selecting those interesting objects and demonstrate its superior performance to random selection.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cebron, N. (2010). TOWARDS LEARNING WITH OBJECTS IN A HIERARCHICAL REPRESENTATION. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR; ISBN 978-989-8425-28-7; ISSN 2184-3228, SciTePress, pages 326-329. DOI: 10.5220/0003114403260329

@conference{kdir10,
author={Nicolas Cebron.},
title={TOWARDS LEARNING WITH OBJECTS IN A HIERARCHICAL REPRESENTATION},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR},
year={2010},
pages={326-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003114403260329},
isbn={978-989-8425-28-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2010) - KDIR
TI - TOWARDS LEARNING WITH OBJECTS IN A HIERARCHICAL REPRESENTATION
SN - 978-989-8425-28-7
IS - 2184-3228
AU - Cebron, N.
PY - 2010
SP - 326
EP - 329
DO - 10.5220/0003114403260329
PB - SciTePress