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A Administração Pública Municipal e a efetivação dos direitos fundamentais: questões, perspectivas e desafios
A concretização desta obra resulta de um grande esforço, na busca de uma produção sólida, desenvolvida por estudiosos que se dedicaram a investigar as questões, as perspectivas e os desafios que se apresentam à Administração Pública Municipal brasileira, aproximando da academia os atores envolvidos no trato da coisa pública, iniciada a partir da publicação do livro “Os Novos Paradigmas na Administração Pública Municipal” no ano de 2013. Precedido pelos livros “Os Novos Paradigmas na Administração Pública Municipal”, publicado em 2013, “A Administração Pública Municipal e os desafios contemporâneos”, publicado em 2014, e “Perspectivas e desafios ao munici...
A administração pública municipal e os desafios contemporâneos
A concretização desta obra resulta de um grande esforço, na busca de uma produção sólida, desenvolvida por estudiosos que se dedicaram a investigar os desafios contemporâneos que se apresentam na administração pública municipal, aproximando da academia os atores envolvidos no trato da coisa pública. Precedido pelo livro “Os Novos Paradigmas na Administração Pública Municipal”, também por nós organizado em 2013, este trabalho compõe-se de pesquisas, em sua maioria, realizadas junto ao Centro Integrado de Estudos e Pesquisas em Políticas Públicas – CIEPPP, vinculado ao Programa de Pós-Graduação em Direito (Mestrado e Doutorado) da Universidade de Santa Cruz do Sul ...
Perspectivas e desafios ao municipalismo brasileiro: a interlocução institucional na efetivação dos direitos fundamentais
A concretização desta obra resulta de um grande esforço, na busca de uma produção sólida, desenvolvida por estudiosos que se dedicaram a investigar as perspectivas e os desafios que se apresentam ao municipalismo brasileiro, aproximando da academia os atores envolvidos no trato da coisa pública, iniciada a partir da publicação do livro “Os Novos Paradigmas na Administração Pública Municipal” no ano de 2013. Contemporaneamente, atitudes e instituições forjadas ao longo dos séculos estão em crise, submetendo-se cotidianamente a teses em busca do progresso social. Estas tensões se apresentam nos mais diversos campos, seja social, econômico, moral, educacional, ambiental, e...
Introduction to Information Retrieval
Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.
Introduction to Modern Information Retrieval
Examines Concepts, Functions & Processes of Information Retrieval Systems
Fundamentals of Statistical Signal Processing, Volume 3
"For those involved in the design and implementation of signal processing algorithms, this book strikes a balance between highly theoretical expositions and the more practical treatments, covering only those approaches necessary for obtaining an optimal estimator and analyzing its performance. Author Steven M. Kay discusses classical estimation followed by Bayesian estimation, and illustrates the theory with numerous pedagogical and real-world examples."--Cover, volume 1.
Intelligent Data Engineering and Automated Learning – IDEAL 2020
This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.
Interdisciplinary Topics in Applied Mathematics, Modeling and Computational Science
The Applied Mathematics, Modelling, and Computational Science (AMMCS) conference aims to promote interdisciplinary research and collaboration. The contributions in this volume cover the latest research in mathematical and computational sciences, modeling, and simulation as well as their applications in natural and social sciences, engineering and technology, industry, and finance. The 2013 conference, the second in a series of AMMCS meetings, was held August 26—30 and organized in cooperation with AIMS and SIAM, with support from the Fields Institute in Toronto, and Wilfrid Laurier University. There were many young scientists at AMMCS-2013, both as presenters and as organizers. This proceedings contains refereed papers contributed by the participants of the AMMCS-2013 after the conference. This volume is suitable for researchers and graduate students, mathematicians and engineers, industrialists, and anyone who would like to delve into the interdisciplinary research of applied and computational mathematics and its areas of applications.
