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        Textile and machine learning: A Bibliometric analysis: Textil y aprendizaje automático: un análisis bibliométricoTextile and machine learning: A Bibliometric analysis: Textil y aprendizaje automático: un análisis bibliométrico 

        Umaquinga, Ana; Naranjo Toro, Marco; GODOY COLLAGUAZO, OMAR (Editorial de la Universidad Tecnica del Norte, 2022)

        Application of machine learning methods in forecasting sales prices in a project consultancyApplication of machine learning methods in forecasting sales prices in a project consultancy 

        dos Santos Pereira, Alexandre; Carneiro Gonçalves, Marcelo; Oscar Benitez Nara, Elpidio; de Freitas Ferraz, Thales (UFRGS, 2023)

        Theory of machine learning based on nonrelativistic quantum mechanics 

        Nieto-Chaupis, Huber (World ScientificPE, 2021)
        The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...

        Nota del Editor 

        Rodríguez, Guillermo (Universidad de Palermo, 2021)

        Testing Machine Learning at Classical Electrodynamics 

        Nieto-Chaupis, Huber (Institute of Electrical and Electronics EngineersPE, 2021-10-22)
        Like physics or another laws-based basic science, machine learning might also be a firm methodology to solve physics problems by the which a kind of optimization and minimization of energy are needed. Expressed at the ...

        Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics 

        Nieto-Chaupis, Huber (Institute of Electrical and Electronics EngineersPE, 2021-08-19)
        It is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ...

        Machine Learning Methods with Noisy, Incomplete or Small Datasets 

        Caiafa, César Federico; Zhe, Sun; Tanaka, Toshihisa; Marti Puig, Pere; Solé Casals, Jordi (MDPI, 2021-04)
        In this article, we present a collection of fifteen novel contributions on machine learning methods with low-quality or imperfect datasets, which were accepted for publication in the special issue “Machine Learning Methods ...

        Machine learning and deep learning in biotechnology: applications, impacts, and challengesAprendizaje de máquina y aprendizaje profundo en biotecnología: aplicaciones, impactos y desafíos 

        F. Franco, Edian; J. Ramos, Rommel

        APRENDIZAJE AUTOMÁTICO, INTELIGENCIA (AI Y HI) Y APRENDIZAJE EN REDES DIGITALESMACHINE LEARNING, INTELLIGENCE (AI AND HI) AND LEARNING ON DIGITAL NETWORKS 

        Frayssinhes , Jean (Universidad Nacional de Educación, 2019)

        Machine Learning to Assess Urbanistic Development in the South Pole of Lima City 

        Nieto-Chaupis, Huber; Alfaro-Acuña, Anthony (SpringerPE, 2022-01-01)
        We employ Machine Learning through the Mitchell’s criteria to carry out an assessment on the potential spatial configurations at the south pole of Lima city, at Perú. Based at both qualitative and quantitative facts, an ...
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        Red de Repositorios Latinoamericanos
        + of 8.000.000
        Available publications
        500 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
        • Argentinean Theses
        • Chilean Theses
        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018