Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Un r\'esultat de consistance pour des SVM fonctionnels par interpolation
  spline   This Note proposes a new methodology for function classification with Support
Vector Machine (SVM). Rather than relying on projection on a truncated Hilbert
basis as in our previous work, we use an implicit spline interpolation that
allows us to compute SVM on the derivatives of the studied functions. To that
end, we propose a kernel defined directly on the discretizations of the
observed functions. We show that this method is universally consistent.

26
The categories of this paper are: bayes-an
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
36
The categories of this paper are: cmp-lg
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
29
The categories of this paper are: funct-an
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom