Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Distributed Algorithm for Training Nonlinear Kernel Machines   This paper concerns the distributed training of nonlinear kernel machines on
Map-Reduce. We show that a re-formulation of Nystr\"om approximation based
solution which is solved using gradient based techniques is well suited for
this, especially when it is necessary to work with a large number of basis
points. The main advantages of this approach are: avoidance of computing the
pseudo-inverse of the kernel sub-matrix corresponding to the basis points;
simplicity and efficiency of the distributed part of the computations; and,
friendliness to stage-wise addition of basis points. We implement the method
using an AllReduce tree on Hadoop and demonstrate its value on a few large
benchmark datasets.

8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
4
The categories of this paper are: cond-mat
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
16
The categories of this paper are: stat
27
The categories of this paper are: comp-gas
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
10
The categories of this paper are: q-bio