Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Online and Adaptive Pseudoinverse Solutions for ELM Weights   The ELM method has become widely used for classification and regressions
problems as a result of its accuracy, simplicity and ease of use. The solution
of the hidden layer weights by means of a matrix pseudoinverse operation is a
significant contributor to the utility of the method; however, the conventional
calculation of the pseudoinverse by means of a singular value decomposition
(SVD) is not always practical for large data sets or for online updates to the
solution. In this paper we discuss incremental methods for solving the
pseudoinverse which are suitable for ELM. We show that careful choice of
methods allows us to optimize for accuracy, ease of computation, or
adaptability of the solution.

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The categories of this paper are: math
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: math-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: physics
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The categories of this paper are: nucl-th
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The categories of this paper are: stat
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: q-fin