Cargando…
Semblance: An empirical similarity kernel on probability spaces
In data science, determining proximity between observations is critical to many downstream analyses such as clustering, classification, and prediction. However, when the data’s underlying probability distribution is unclear, the function used to compute similarity between data points is often arbitr...
Autores principales: | Agarwal, Divyansh, Zhang, Nancy R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892634/ https://www.ncbi.nlm.nih.gov/pubmed/31840051 http://dx.doi.org/10.1126/sciadv.aau9630 |
Ejemplares similares
-
Framework of Consciousness from Semblance of Activity at Functionally LINKed Postsynaptic Membranes
por: Vadakkan, Kunjumon I.
Publicado: (2010) -
Reproducing kernel hilbert spaces in probability and statistics
por: Berlinet, Alain, et al.
Publicado: (2004) -
Steroid-responsive Encephalopathy as a Semblance of Neuroleptic Malignant Syndrome in a Patient with Schizophrenia
por: Aneja, Jitender, et al.
Publicado: (2019) -
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System
por: Saavedra, Carolina, et al.
Publicado: (2019) -
An empirical evaluation of kernels for time series
por: Badiane, Mourtadha, et al.
Publicado: (2021)