Tree automata and separable sets of input variables
Slavcho Shtrakov, Vladimir Shtrakov

TL;DR
This paper investigates how the computational complexity of tree transducers is influenced by the separable sets of input variables, providing insights into their theoretical properties.
Contribution
It introduces a new analysis of tree transducers focusing on the role of separable input variable sets, highlighting their impact on complexity.
Findings
Complexity varies with different separable input sets
Identification of conditions for lower complexity
Framework for analyzing tree transducer complexity
Abstract
We consider the computational complexity of tree transducers, depending on their separable sets of input variables.
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Taxonomy
Topicssemigroups and automata theory · Algorithms and Data Compression · Machine Learning and Algorithms
