Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Learning properties of Support Vector Machines   We study the typical learning properties of the recently proposed Support
Vectors Machines. The generalization error on linearly separable tasks, the
capacity, the typical number of Support Vectors, the margin, and the robustness
or noise tolerance of a class of Support Vector Machines are determined in the
framework of Statistical Mechanics. The robustness is shown to be closely
related to the generalization properties of these machines.

25
The categories of this paper are: patt-sol
20
The categories of this paper are: acc-phys
29
The categories of this paper are: funct-an
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
3
The categories of this paper are: physics
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
35
The categories of this paper are: mtrl-th