Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pau Figuera"'
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2349 (2024)
Clustering validation is applied to evaluate the quality of classifications. This step is crucial for unsupervised machine learning. A plethora of methods exist for this purpose; however, a common drawback is that statistical inference is not possibl
Externí odkaz:
https://doaj.org/article/4704f7542d564ab7be9f954f362ba0fc
Autor:
Pau Figuera, Pablo García Bringas
Publikováno v:
Technologies, Vol 12, Iss 1, p 5 (2024)
This manuscript provides a comprehensive exploration of Probabilistic latent semantic analysis (PLSA), highlighting its strengths, drawbacks, and challenges. The PLSA, originally a tool for information retrieval, provides a probabilistic sense for a
Externí odkaz:
https://doaj.org/article/1e9f73becbba407899aae201ea53a285
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 2 (2020)
The Probabilistic Latent Semantic Analysis has been related with the Singular Value Decomposition. Several problems occur when this comparative is done. Data class restrictions and the existence of several local optima mask the relation, being a form
Externí odkaz:
https://doaj.org/article/87d0965e934d426abff36d18b7341879
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031154706
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbe4e326a1f949aafbd6c3513e7119c4
https://doi.org/10.1007/978-3-031-15471-3_17
https://doi.org/10.1007/978-3-031-15471-3_17
Autor:
Pablo García Bringas, Pau Figuera
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030862701
HAIS
HAIS
In this manuscript, we derive a non-parametric version of the Fisher kernel. We obtain this original result from the Non-negative Matrix Factorization with the Kullback-Leibler divergence. By imposing suitable normalization conditions on the obtained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80e22ab8c4d568ce9a87a99a0b3d8a1f
https://doi.org/10.1007/978-3-030-86271-8_38
https://doi.org/10.1007/978-3-030-86271-8_38
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 2 (2020)
The Probabilistic Latent Semantic Analysis has been related with the Singular Value Decomposition. Several problems occur when this comparative is done. Data class restrictions and the existence of several local optima mask the relation, being a form
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cf8ff3a43d69f1b74f183d53563b893
https://www.atlantis-press.com/article/125941349/view
https://www.atlantis-press.com/article/125941349/view
Publikováno v:
Journal of Statistical Theory and Applications; June 2020, Vol. 19 Issue: 2 p286-296, 11p
Autor:
Figuera, Pau1 (AUTHOR) pau.figuera@opendeusto.es, Cuzzocrea, Alfredo2 (AUTHOR), García Bringas, Pablo1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Aug2024, Vol. 12 Issue 15, p2349. 31p.
Autor:
Figuera, Pau, García Bringas, Pablo
Publikováno v:
Technologies (2227-7080); Jan2024, Vol. 12 Issue 1, p5, 39p
Autor:
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
This book constitutes the refereed proceedings of the 18th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2023, held in Salamanca, Spain, during September 5–7, 2023.The 65 full papers included in this book were carefull