Towards Efficient Active Learning of PDFA
Resumen:
We propose a new active learning algorithm for PDFA based on three main aspects: a congruence over states which takes into account next-symbol probability distributions, a quantization that copes with differences in distributions, and an efficient tree-based data structure. Experiments showed significant performance gains with respect to reference implementations.
| 2022 | |
| Agencia Nacional de Investigación e Innovación | |
|
Artificial Intelligencece Active Learning Ciencias Naturales y Exactas Ciencias de la Computación e Información Ciencias de la Computación |
|
| Inglés | |
| Agencia Nacional de Investigación e Innovación | |
| REDI | |
| https://hdl.handle.net/20.500.12381/595 | |
| Acceso abierto | |
| Reconocimiento 4.0 Internacional. (CC BY) |
