Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Note on Improved Loss Bounds for Multiple Kernel Learning   In this paper, we correct an upper bound, presented in~\cite{hs-11}, on the
generalisation error of classifiers learned through multiple kernel learning.
The bound in~\cite{hs-11} uses Rademacher complexity and has an\emph{additive}
dependence on the logarithm of the number of kernels and the margin achieved by
the classifier. However, there are some errors in parts of the proof which are
corrected in this paper. Unfortunately, the final result turns out to be a risk
bound which has a \emph{multiplicative} dependence on the logarithm of the
number of kernels and the margin achieved by the classifier.

34
The categories of this paper are: chem-ph
31
The categories of this paper are: ao-sci
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
12
The categories of this paper are: nucl-th
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
26
The categories of this paper are: bayes-an
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph