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Found 2 papers, 1 papers with code
A Neural Turing~Machine for Conditional Transition Graph Modeling
However, learning the graph structure is often complex, particularly when the graph is cyclic, and the transitions from one node to another are conditioned such as graphs used to represent a finite state machine.
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String Similarities
This paper proposes a string metric that encompasses similarities between strings based on (1) the character similarities between the words including.
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