Zobrazeno 1 - 10
of 832
pro vyhledávání: '"Regression problems"'
Publikováno v:
AIMS Mathematics, Vol 6, Iss 6, Pp 6180-6200 (2021)
We study and investigate a convex minimization problem of the sum of two convex functions in the setting of a Hilbert space. By assuming the Lipschitz continuity of the gradient of the function, many optimization methods have been invented, where the
Externí odkaz:
https://doaj.org/article/18ad27083361462b9cec71707c66461b
Autor:
M. Abdollahi, M. Aliyari Shoorehdeli
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 8, Iss 3, Pp 331-341 (2020)
There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, e
Externí odkaz:
https://doaj.org/article/b428d52f4c40445caa73e0adfb8900dc
Publikováno v:
IEEE Access, Vol 8, Pp 121344-121356 (2020)
With the commoditization of machine learning, more and more off-the-shelf models are available as part of code libraries or cloud services. Typically, data scientists and other users apply these models as “black boxes” within larger projects. In
Externí odkaz:
https://doaj.org/article/eb69cca3e8f74a1db1644b21fd7bd862
Publikováno v:
Environmental Data Science, Vol 1 (2022)
Despite the increasingly successful application of neural networks to many problems in the geosciences, their complex and nonlinear structure makes the interpretation of their predictions difficult, which limits model trust and does not allow scienti
Externí odkaz:
https://doaj.org/article/89a7d507f59e4f1c8e21d51136e69b1f
Akademický článek
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Publikováno v:
IEEE Transactions on Fuzzy Systems. 30:4017-4024
For taking out the adjustment process of sparse auto-encoder for broad learning system, S. Feng et al. proposed fuzzy broad learning system by replacing the feature nodes of broad learning system with Takagi-Sugeno fuzzy systems. In fuzzy broad learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4dbc8e9e6fd4ab302e9f8d7ef9d13b9
https://doi.org/10.1109/tfuzz.2021.3128210
https://doi.org/10.1109/tfuzz.2021.3128210
Autor:
Belisario Panay, Nelson Baloian, José A. Pino, Sergio Peñafiel, Jonathan Frez, Cristóbal Fuenzalida, Horacio Sanson, Gustavo Zurita
Publikováno v:
Sensors, Vol 21, Iss 5, p 1874 (2021)
Foot traffic, conversion rate, and total sales during a period of time may be considered to be important indicators of store performance. Forecasting them may allow for business managers plan stores operation in the near future in an efficient way. T
Externí odkaz:
https://doaj.org/article/891e72fa3b764cc2828936108a138eae
Autor:
Ravid Shwartz-Ziv, Amitai Armon
Publikováno v:
Information Fusion. 81:84-90
A key element in solving real-life data science problems is selecting the types of models to use. Tree ensemble models (such as XGBoost) are usually recommended for classification and regression problems with tabular data. However, several deep learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1270d3309e2e18dd342191a150f735a1
https://doi.org/10.1016/j.inffus.2021.11.011
https://doi.org/10.1016/j.inffus.2021.11.011
Publikováno v:
Fuzzy Sets and Systems. 426:1-26
This paper formulates a fuzzy logic neuron that uses n-uninorms to construct uni-nullneurons. A fuzzy neural network (FNN) composed of these neurons is easy to operate with nullnorms and uninorms at different times, which results in high accuracy of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a741776e4f69d086d1d0300c233800ac
https://doi.org/10.1016/j.fss.2020.11.019
https://doi.org/10.1016/j.fss.2020.11.019
Autor:
Paulo Vitor de Campos Souza, Augusto Junio Guimaraes, Vanessa Souza Araújo, Thiago Silva Rezende, Vinicius Jonathan Silva Araújo
Publikováno v:
Inteligencia Artificial, Vol 21, Iss 62 (2018)
This paper presents a novel learning algorithm for fuzzy logic neuron based on neural networks and fuzzy systems able to generate accurate and transparent models. The learning algorithm is based on ideas from Extreme Learning Machine [36], to achieve
Externí odkaz:
https://doaj.org/article/a9c68d92308a4765b414f0c97c930bee