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Found 6 papers, 1 papers with code
Marginal Inference queries in Hidden Markov Models under context-free grammar constraints
When the probabilistic model is sequential, more sophisticated marginal inference queries involving complex grammars may be of interest in fields such as computational linguistics and NLP.
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results
The need of interpreting Deep Learning (DL) models has led, during the past years, to a proliferation of works concerned by this issue.
Learning Unions of k-Testable Languages
The Galois connection and the metric allow us to derive an efficient algorithm to learn the union of k-TSS languages.
Formal Languages and Automata Theory
A Canonical Semi-Deterministic Transducer
We prove the existence of a canonical form for semi-deterministic transducers with incomparable sets of output strings.
