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Artificial Intelligence in Financial Markets
As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable algorithmic approach which emulates certain aspects of human brain functions, and is used extensively in financial forecasting allowing for quick investment decision making. This book presents the most cutting-edge artificial intelligence (AI)/neural networking applications for markets, assets and other areas of finance. Split into four sections, the book first explores time series analysis for forecasting and...
European Yearbook of International Economic Law 2020
Volume 11 of the EYIEL focuses on rights and obligations of business entities under international economic law. It deals with the responsibilities of business entities as well as their special status in various subfields of international law, including human rights, corruption, competition law, international investment law, civil liability and international security law. The contributions to this volume thus highlight the significance of international law for the regulation of business entities. In addition, EYIEL 11 addresses recent challenges, developments as well as events in European and international economic law such as the 2019 elections to the European Parliament, Brexit and the EU-Mercosur Free Trade Agreement. A series of essays reviewing new books on international trade and investment law completes the volume.
Neural Networks: Tricks of the Trade
The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines. The second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers. These tricks can make a substantial difference (in terms of speed, ease of implementation, and accuracy) when it comes to putting algorithms to work on real problems.
The Professor Is In
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set thems...
On Revision
Press start -- Good to better -- Know what you've got -- Look for an argument -- Build an architecture -- Remember the audience -- What writing wants.
Maida Springer
Maida Springer was an active participant in shaping a history that involved powerful movements for social, political and economic equality and justice for workers women, and African Americans. Maida Springer is the first full-length biography to document and analyze the central role played by Springer in international affairs, particularly in the formation of AFL-CIO's African policy during the Cold War and African independence movements. Richards explores the ways in which pan-Africanism, racism, sexism and anti-Communism affected Springer's political development, her labor activism, and her relationship with labor leaders in the AFL-CIO, the International Confederation of Free Trade Unions...
Content-Based Analysis of Digital Video
Content-Based Analysis Of Digital Video focuses on fundamental issues underlying the development of content access mechanisms for digital video. It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of: - Video parsing, - Video content indexing and representation, - Affective video content analysis. In this well illustrated book the author integrates related information currently scattered throughout the literature and combines it with new ideas into a unified theoretical approach to video content analysis. The material also suggests ideas for future research. Systems developers, researchers and students working in the area of content-based analysis and retrieval of video and multimedia in general will find this book invaluable.
Innovation, Human Capital and Trade Competitiveness
This work focuses on researching and establishing the importance of human capital and innovation as determinants of competitive advantages in international trade—in the context of rapidly evolving technological advancement, globalization, and economic integration. The processes that accompany the shift from industrial economics to a knowledge-based economy are currently the object of interest of both scientists, politicians, investors and entrepreneurs. In many countries, the traditional sources of socioeconomic development, such as low labor costs, availability of inexpensive raw materials, and favorable geographic location are waning. These economies are searching for new sources of comp...
The Culture of the Publisher’s Series, Volume One
This volume focuses on the publisher's series as a cultural formation - a material artefact and component of cultural hierarchies. Contributors engage with archival research, cultural theory, literary and bibliometric analysis (amongst a range of other approaches) to contextualize the publisher's series in terms of its cultural and economic work.
