Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hierarchic Kernel Recursive Least-Squares   We present a new kernel-based algorithm for modeling evenly distributed
multidimensional datasets that does not rely on input space sparsification. The
presented method reorganizes the typical single-layer kernel-based model into a
deep hierarchical structure, such that the weights of a kernel model over each
dimension are modeled over its adjacent dimension. We show that modeling
weights in the suggested structure leads to significant computational speedup
and improved modeling accuracy.

8
The categories of this paper are: hep-ex
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The categories of this paper are: stat
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The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
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The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas