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1. |
Record Nr. |
UNISA996385153903316 |
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Autore |
Clagett William <1646-1688.> |
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Titolo |
An answer to the dissenters objections against the common prayers, and some other parts of divine-service prescribed in the liturgie of the Church of England [[electronic resource]] |
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Pubbl/distr/stampa |
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London, : Printed for T. Basset ... B. Took ... and F. Gardiner ..., 1684 |
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Descrizione fisica |
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Soggetti |
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Dissenters, Religious - England |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Attributed to William Clagett. Cf. DNB. |
Reproduction of original in Huntington Library. |
Can also be found at 659:10 as part of: A collection of cases and other discourses. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910349278003321 |
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Titolo |
Artificial Intelligence : 30th Benelux Conference, BNAIC 2018, ‘s-Hertogenbosch, The Netherlands, November 8–9, 2018, Revised Selected Papers / / edited by Martin Atzmueller, Wouter Duivesteijn |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (X, 167 p. 64 illus., 46 illus. in color.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1021 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Data mining |
Artificial Intelligence |
Data Mining and Knowledge Discovery |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Early Detection of Sepsis Induced Deterioration Using Machine Learning -- Deriving Formulas for Integer Sequences Using Inductive Programming -- All or In-cloud: How the Identification of Six Types of Anomalies is Affected by the Discretization Method -- Topic Modeling for Exploring Cancer-Related Coverage in Journalistic Texts -- Model Selection for Multi-Directional Ensemble of Regression and Classification Trees -- Finding dissimilar explanations in Bayesian networks: Complexity results -- Beyond Local Nash Equilibria for Adversarial Networks -- Deep Multi-Agent Reinforcement Learning in a Homogeneous Open Population -- Computing and Predicting Winning Hands in the Trick-Taking Game of Klaverjas -- Style transfer of abstract drum patterns using a light-weight hierarchical autoencoder -- Assessing the Potential of Classical Q-learning in General Game Playing -- Visual Rationalizations in Deep Reinforcement Learning for Atari Games. |
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Sommario/riassunto |
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This book contains a selection of the best papers of the 30th Benelux Conference on Artificial Intelligence, BNAIC 2018, held in ‘s-Hertogenbosch, The Netherlands, in November 2018. The 9 full papers |
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and 3 short papers presented in this volume were carefully reviewed and selected from 31 submissions. They address various aspects of artificial intelligence such as natural language processing, agent technology, game theory, problem solving, machine learning, human-agent interaction, AI and education, and data analysis. |
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