Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multi-layer Kernel Ridge Regression for One-class Classification   In this paper, a multi-layer architecture (in a hierarchical fashion) by
stacking various Kernel Ridge Regression (KRR) based Auto-Encoder for one-class
classification is proposed and is referred as MKOC. MKOC has many layers of
Auto-Encoders to project the input features into new feature space and the last
layer was regression based one class classifier. The Auto-Encoders use an
unsupervised approach of learning and the final layer uses semi-supervised
(trained by only positive samples) approach of learning. The proposed MKOC is
experimentally evaluated on 15 publicly available benchmark datasets.
Experimental results verify the effectiveness of the proposed approach over 11
existing state-of-the-art kernel-based one-class classifiers. Friedman test is
also performed to verify the statistical significance of the claim of the
superiority of the proposed one-class classifiers over the existing
state-of-the-art methods.

28
The categories of this paper are: alg-geom
29
The categories of this paper are: funct-an
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex