Discrete representations of continuous data using deep learning and clustering
<p>The divide between continuous and discrete data is a fundamental one in computer science and mathematics, as well as related areas such as cognitive science. Historically, most of computing has operated in the discrete domain, but connectionism offers an alternative set of techniques for re...
Autor Principal: | Mahon, L |
---|---|
Outros autores: | Lukasiewicz, T |
Formato: | Thesis |
Idioma: | English |
Publicado: |
2022
|
Subjects: |
Títulos similares
-
Influence of the input data on learning deep representations
por: Sylvestre-Alvise Rebuffi
Publicado: (2020) -
DEEP LEARNING /
por: Kelleher, John D., author 637754
Publicado: (2019) -
Continual learning for efficient machine learning
por: Chaudhry, A
Publicado: (2020) -
Machine learning and deep learning methods that use omics data for metastasis prediction
por: Somayah Albaradei, et al.
Publicado: (2021-01-01) -
Learning Distributed Representations and Deep Embedded Clustering of Texts
por: Shuang Wang, et al.
Publicado: (2023-03-01)