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Authors: Elina Parviainen ; Jaakko Riihimäki ; Yoan Miche and Amaury Lendasse

Affiliation: Aalto University School of Science and Technology, Finland

ISBN: 978-989-8425-28-7

Keyword(s): Extreme learning machine (ELM), Neural network kernel.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Clustering and Classification Methods ; Computational Intelligence ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Machine Learning ; Soft Computing ; Symbolic Systems

Abstract: Extreme Learning Machine (ELM) is a neural network architecture in which hidden layer weights are randomly chosen and output layer weights determined analytically. We interpret ELM as an approximation to a network with infinite number of hidden units. The operation of the infinite network is captured by neural network kernel (NNK). We compare ELM and NNK both as part of a kernel method and in neural network context. Insights gained from this analysis lead us to strongly recommend model selection also on the variance of ELM hidden layer weights, and not only on the number of hidden units, as is usually done with ELM. We also discuss some properties of ELM, which may have been too strongly interpreted in previous works.

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Paper citation in several formats:
Parviainen, E.; Riihimäki, J.; Miche, Y. and Lendasse, A. (2010). INTERPRETING EXTREME LEARNING MACHINE AS AN APPROXIMATION TO AN INFINITE NEURAL NETWORK.In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010) ISBN 978-989-8425-28-7, pages 65-73. DOI: 10.5220/0003071100650073

@conference{kdir10,
author={Elina Parviainen. and Jaakko Riihimäki. and Yoan Miche. and Amaury Lendasse.},
title={INTERPRETING EXTREME LEARNING MACHINE AS AN APPROXIMATION TO AN INFINITE NEURAL NETWORK},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2010)},
year={2010},
pages={65-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003071100650073},
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 - INTERPRETING EXTREME LEARNING MACHINE AS AN APPROXIMATION TO AN INFINITE NEURAL NETWORK
SN - 978-989-8425-28-7
AU - Parviainen, E.
AU - Riihimäki, J.
AU - Miche, Y.
AU - Lendasse, A.
PY - 2010
SP - 65
EP - 73
DO - 10.5220/0003071100650073

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