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Cases and Materials on European Union Law
Hardbound - New, hardbound print book.
Elements of Data Science, Machine Learning, and Artificial Intelligence Using R
The textbook provides students with tools they need to analyze complex data using methods from data science, machine learning and artificial intelligence. The authors include both the presentation of methods along with applications using the programming language R, which is the gold standard for analyzing data. The authors cover all three main components of data science: computer science; mathematics and statistics; and domain knowledge. The book presents methods and implementations in R side-by-side, allowing the immediate practical application of the learning concepts. Furthermore, this teaches computational thinking in a natural way. The book includes exercises, case studies, Q&A and examples.
Advances in Network Complexity
A well-balanced overview of mathematical approaches to complex systems ranging from applications in chemistry and ecology to basic research questions on network complexity. Matthias Dehmer, Abbe Mowshowitz, and Frank Emmert-Streib, well-known pioneers in the fi eld, have edited this volume with a view to balancing classical and modern approaches to ensure broad coverage of contemporary research problems. The book is a valuable addition to the literature and a must-have for anyone dealing with network compleaity and complexity issues.
European Union Law:Cases
(61) Case 59/85 Reed
Computational Network Theory
This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks.
World Trade Organization (WTO) Documents
The present volume is a compact collection of all binding GATT and WTO Agreements and Understandings, in particular - the GATT Agreement - the WTO Agreement - the Agreement on Agriculture - the SPS Agreement - the TBT Agreement - the Agreement on Trade-Related Investment Measures (TRIMs) - the GATT Anti-Dumping Agreement - the GATT Valuation Agreement - the Agreement on Preshipment Inspection - the Agreement on Rules of Origin - the Agreement on Import Licensing Procedures - the Agreement on Subsidies and Countervailing Measures - the Agreement on Safeguards - the Agreement on Trade in Services (GATS) - the Agreement on Trade-Related Intellectual Property Rights (TRIPs), and - the Dispute Settlement Understanding (DSU). The collection is intended primarily for study purposes but can serve practitioners equally well.
Collected Courses of the Academy of European Law / Recueil des cours de l’ Académie de droit européen
Your invitation to me, as the President of the European Court of Human Rights, to conclude this year's study programme on the protection of hu man rights in Europe by delivering the prestigious Winston Churchill lec ture is a great honour not only for me personally but for the European Court of Human Rights as a whole, and I should like to thank the European Uni versity Institute and its Academy of European Law most warmly for giving me this opportunity. You are fortunate to have had the opportunity of following a week long general course on the protection of human rights in Europe given by my col league and friend Carl Aage N0rgaard, the President of the European Commission of Human Rights....
Big Data of Complex Networks
Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary manner to produce novel techniques for analyzing massive amounts of data, this book also explores the possibilities offered by the special aspects such as computer memory in investigating large sets of complex networks. Intended for computer scientists, statisticians and mathematicians interested in the big data and networks, Big Data of Complex Networks is also a valuable tool for re...
Mathematical Foundations and Applications of Graph Entropy
This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas. Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists.
