This volume contains chapters on the diversity, ecology and phylogeny of predatory prokaryotes, introducing models of predator–prey ...
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Why simulation techniques? Simulation methods, designed for use in statistics and operations research, have experienced and ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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The book covers all aspects of fermentation technology such as principles, reaction kinetics, scaling up of processes, and ...
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This volume describes and explains the educational method of Case-Based Clinical Reasoning (CBCR) used successfully in medical ...
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Constitutes the proceedings of the 11th International Conference on Principles and Practice of Constraint Programming, CP ...
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Covering a range of key topics, this up-to-date volume discusses current research in areas such as microbiome-based therapeutics ...
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This book constitutes the refereed proceedings of the 11th International Conference on Principles of Distributed Systems, ...
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This book constitutes the refereed post-proceedings of the 9th International Conference on Principles of Distributed Systems, ...
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The 30 full papers and 11 short papers presented were carefully reviewed and selected from 102 submissions. The conference ...
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Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
WeiterlesenEmphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many ...
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The aim of the book is to create a bridge between two ‘lands’ that are usually kept separate: technical tools and legal ...
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This book is a modern guide for all C++ programmers to learn Intel Threading Building Blocks (TBB).this book reflects their ...
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One of the key open questions within arti?cial intelligence is how to combine probability and logic with learning. This question ...
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An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; ...
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Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
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Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
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Probabilistic Reasoning and Decision Making in Sensory-Motor Systems by Pierre Bessiere, Christian Laugier and Roland Siegwart ...
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