Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Interpreting Finite Automata for Sequential Data   Automaton models are often seen as interpretable models. Interpretability
itself is not well defined: it remains unclear what interpretability means
without first explicitly specifying objectives or desired attributes. In this
paper, we identify the key properties used to interpret automata and propose a
modification of a state-merging approach to learn variants of finite state
automata. We apply the approach to problems beyond typical grammar inference
tasks. Additionally, we cover several use-cases for prediction, classification,
and clustering on sequential data in both supervised and unsupervised scenarios
to show how the identified key properties are applicable in a wide range of
contexts.

5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
36
The categories of this paper are: cmp-lg
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
27
The categories of this paper are: comp-gas
14
The categories of this paper are: math-ph