Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A priori estimates for classification problems using neural networks   We consider binary and multi-class classification problems using hypothesis
classes of neural networks. For a given hypothesis class, we use Rademacher
complexity estimates and direct approximation theorems to obtain a priori error
estimates for regularized loss functionals.

31
The categories of this paper are: ao-sci
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The categories of this paper are: chao-dyn
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The categories of this paper are: plasm-ph
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The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
4
The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: math-ph
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The categories of this paper are: econ
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The categories of this paper are: acc-phys
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph