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Published by Editora Foco Jurídico Ltda
ISBN 10: 6561205618 ISBN 13: 9786561205610
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paperback. Sobre a obra Controvérsias Tributárias e os Precedentes do CARF - IPI Tributação sobre a Industrialização - 1ª Ed - 2025 - Volume 4 Essa série de livros que trata dasControvérsias Tributárias e os Precedentes do CARF, pretendendo abordar temas discutidos pela corte de julgamento deProcessos Administrativos Tributários Federais, segmentados emvolumesque têm como objeto áreas específicas daTributação, sendo o primeiro deles dedicado à Tributação Sobre a Renda, com ênfase noIRPJeCSLL, o segundo sobre oPISeCOFINS, o terceiro sobre oSimples Nacionale o quarto sobre oIPI, onde residem sensíveis problemas relacionados a planejamento tributário. Porquanto tratarem de temas que exigem verticalização de análise, aprofundamento da reflexão jurídica e alta especialização técnica, as obras são escritas em coautoria majoritária deConselheiros e Conselheiras do CARF, atuais e antigos, e também por Professores Doutores convidados para compô-las, abrindo-se espaço, também, a jovens talentos da Academia, pretendendo-se contribuir com temas relevantes, debates propositivos e soluções aos questionamentos decorrentes de precedentes produzidos naquele Colegiado. Coordenador Fredy José Gomes de Albuquerque.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced training sets, noisy labels and other problems. Moreover, in practice, it is very common that available data samples are not enough to derive useful supervised or unsupervised classifiers. All these issues are commonly referred to as the low-quality data problem. This book collects novel contributions on machine learning methods for low-quality datasets, to contribute to the dissemination of new ideas to solve this challenging problem, and to provide clear examples of application in real scenarios.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn many machine learning applications, available datasets are sometimes incomplete, noisy or affected by artifacts. In supervised scenarios, it could happen that label information has low quality, which might include unbalanced tr.
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Buch. Condition: Neu. Machine Learning Methods with Noisy, Incomplete or Small Datasets | Buch | Gebunden | Englisch | 2021 | MDPI AG | EAN 9783036512884 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.