Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Siamese Deep Forest   A Siamese Deep Forest (SDF) is proposed in the paper. It is based on the Deep
Forest or gcForest proposed by Zhou and Feng and can be viewed as a gcForest
modification. It can be also regarded as an alternative to the well-known
Siamese neural networks. The SDF uses a modified training set consisting of
concatenated pairs of vectors. Moreover, it defines the class distributions in
the deep forest as the weighted sum of the tree class probabilities such that
the weights are determined in order to reduce distances between similar pairs
and to increase them between dissimilar points. We show that the weights can be
obtained by solving a quadratic optimization problem. The SDF aims to prevent
overfitting which takes place in neural networks when only limited training
data are available. The numerical experiments illustrate the proposed distance
metric method.

27
The categories of this paper are: comp-gas
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The categories of this paper are: eess
26
The categories of this paper are: bayes-an
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
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The categories of this paper are: mtrl-th
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The categories of this paper are: chem-ph
17
The categories of this paper are: q-fin
28
The categories of this paper are: alg-geom