Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: HTM-MAT: An online prediction software toolbox based on cortical machine
  learning algorithm   HTM-MAT is a MATLAB based toolbox for implementing cortical learning
algorithms (CLA) including related cortical-like algorithms that possesses
spatiotemporal properties. CLA is a suite of predictive machine learning
algorithms developed by Numenta Inc. and is based on the hierarchical temporal
memory (HTM). This paper presents an implementation of HTM-MAT with several
illustrative examples including several toy datasets and compared with two
sequence learning applications employing state-of-the-art algorithms - the
recurrentjs based on the Long Short-Term Memory (LSTM) algorithm and OS-ELM
which is based on an online sequential version of the Extreme Learning Machine.
The performance of HTM-MAT using two historical benchmark datasets and one real
world dataset is also compared with one of the existing sequence learning
applications, the OS-ELM. The results indicate that HTM-MAT predictions are
indeed competitive and can outperform OS-ELM in sequential prediction tasks.

36
The categories of this paper are: cmp-lg
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The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat
17
The categories of this paper are: q-fin
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The categories of this paper are: chao-dyn
9
The categories of this paper are: nlin