Cargando…
Extracting automata from neural networks using active learning
Deep learning is one of the most advanced forms of machine learning. Most modern deep learning models are based on an artificial neural network, and benchmarking studies reveal that neural networks have produced results comparable to and in some cases superior to human experts. However, the generate...
Autores principales: | Xu, Zhiwu, Wen, Cheng, Qin, Shengchao, He, Mengda |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064235/ https://www.ncbi.nlm.nih.gov/pubmed/33977128 http://dx.doi.org/10.7717/peerj-cs.436 |
Ejemplares similares
-
Generalizable Machine Learning in Neuroscience Using Graph Neural Networks
por: Wang, Paul Y., et al.
Publicado: (2021) -
Extracting relations from texts using vector language models and a neural network classifier
por: Shishaev, Maksim, et al.
Publicado: (2023) -
Frost prediction using machine learning and deep neural network models
por: Talsma, Carl J., et al.
Publicado: (2023) -
Aspect extraction on user textual reviews using multi-channel convolutional neural network
por: Da’u, Aminu, et al.
Publicado: (2019) -
Rule Extraction From Binary Neural Networks With Convolutional Rules for Model Validation
por: Burkhardt, Sophie, et al.
Publicado: (2021)