Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Carmen Peláez-Moreno"'
Publikováno v:
Mathematics, Vol 12, Iss 2, p 346 (2024)
Multilabel classification is a recently conceptualized task in machine learning. Contrary to most of the research that has so far focused on classification machinery, we take a data-centric approach and provide an integrative framework that blends qu
Externí odkaz:
https://doaj.org/article/c7875c159a3a49419a5c5295c9f5b792
Publikováno v:
Mathematics, Vol 9, Iss 2, p 173 (2021)
Formal Concept Analysis (FCA) is a well-known supervised boolean data-mining technique rooted in Lattice and Order Theory, that has several extensions to, e.g., fuzzy and idempotent semirings. At the heart of FCA lies a Galois connection between two
Externí odkaz:
https://doaj.org/article/1499cbb9483b45ecb91f6c93ac20b493
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1577 (2020)
In this paper, we provide a basic technique for Lattice Computing: an analogue of the Singular Value Decomposition for rectangular matrices over complete idempotent semifields (i-SVD). These algebras are already complete lattices and many of their in
Externí odkaz:
https://doaj.org/article/d5c3439e5c4647b0ac92c80dd379a874
Publikováno v:
Entropy, Vol 21, Iss 8, p 780 (2019)
We set out to demonstrate that the Rényi entropies are better thought of as operating in a type of non-linear semiring called a positive semifield. We show how the Rényi’s postulates lead to Pap’s g-calculus where the functions carrying out the
Externí odkaz:
https://doaj.org/article/b5fd8e88f23d4c2cb2a78c21fd8c28d7
Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence
Autor:
Esther Rituerto-González, Alba Mínguez-Sánchez, Ascensión Gallardo-Antolín, Carmen Peláez-Moreno
Publikováno v:
Applied Sciences, Vol 9, Iss 11, p 2298 (2019)
A Speaker Identification system for a personalized wearable device to combat gender-based violence is presented in this paper. Speaker recognition systems exhibit a decrease in performance when the user is under emotional or stress conditions, thus t
Externí odkaz:
https://doaj.org/article/58258d60408245c598e7bbcc6b92d1dd
Publikováno v:
Entropy, Vol 21, Iss 1, p 46 (2019)
We introduce a variant of the Rényi entropy definition that aligns it with the well-known Hölder mean: in the new formulation, the r-th order Rényi Entropy is the logarithm of the inverse of the r-th order Hölder mean. This brings about new insig
Externí odkaz:
https://doaj.org/article/48084133493c4faaa5411c25dde88731
Publikováno v:
Entropy, Vol 20, Iss 7, p 498 (2018)
Data transformation, e.g., feature transformation and selection, is an integral part of any machine learning procedure. In this paper, we introduce an information-theoretic model and tools to assess the quality of data transformations in machine lear
Externí odkaz:
https://doaj.org/article/86b5550402eb44e981bd5fa219f1d292
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e84217 (2014)
The most widely spread measure of performance, accuracy, suffers from a paradox: predictive models with a given level of accuracy may have greater predictive power than models with higher accuracy. Despite optimizing classification error rate, high a
Externí odkaz:
https://doaj.org/article/6dcb76f3127d42499720ccd6e5b167f0
Autor:
Emma Reyner Fuentes, Esther Rituerto González, Clara Luis Mingueza, Carmen Peláez Moreno, Celia López Ongil
Publikováno v:
IberSPEECH 2022.
Publikováno v:
IberSPEECH 2022.