loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Author: Nicolas Cebron

Affiliation: University of Augsburg, Germany

ISBN: 978-989-8425-28-7

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.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 100.26.182.28

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, 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 - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={326-329},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003114403260329},
isbn={978-989-8425-28-7},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)
TI - TOWARDS LEARNING WITH OBJECTS IN A HIERARCHICAL REPRESENTATION
SN - 978-989-8425-28-7
AU - Cebron, N.
PY - 2010
SP - 326
EP - 329
DO - 10.5220/0003114403260329

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.