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AI and Financial Markets
Artificial intelligence (AI) is regarded as the science and technology for producing an intelligent machine, particularly, an intelligent computer program. Machine learning is an approach to realizing AI comprising a collection of statistical algorithms, of which deep learning is one such example. Due to the rapid development of computer technology, AI has been actively explored for a variety of academic and practical purposes in the context of financial markets. This book focuses on the broad topic of “AI and Financial Markets”, and includes novel research associated with this topic. The book includes contributions on the application of machine learning, agent-based artificial market simulation, and other related skills to the analysis of various aspects of financial markets.
Beyond the Trenches
This collection of articles summarises results of investigations into archival materials concerning wartime stories of various nations involved in the Great War. The objective of the authors was to analyse the wartime experience of individuals and local communities as well as whole nations.
The Free Economy and the Strong State
An attempt to provide an account of the genesis of Thatcherism in opposition, its record in government, its relationship to the Conservative tradition and the ideological challenge of the New Right. The manner in which Thatcherism has been analysed by the Left and the Right is assessed.
Past for the Eyes
How do museums and cinema shape the image of the Communist past in today’s Central and Eastern Europe? This volume is the first systematic analysis of how visual techniques are used to understand and put into context the former regimes. After history “ended” in the Eastern Bloc in 1989, museums and other memorials mushroomed all over the region. These efforts tried both to explain the meaning of this lost history, as well as to shape public opinion on their society’s shared post-war heritage. Museums and films made political use of recollections of the recent past, and employed selected museum, memorial, and media tools and tactics to make its political intent historically credible. Thirteen essays from scholars around the region take a fresh look at the subject as they address the strategies of fashioning popular perceptions of the recent past.
Handbook of Organophosphorus Chemistry
This practical work summarizes the development of organophosphorus chemistry in topical areas and details the discipline's current state - providing applications and experimental procedures throughout.;Written by 18 leading authorities in the field, the Handbook of Organophosphorus Chemistry: examines advances in the mechanistic understanding of the Perkow and related organophosphorus reactions; describes methods for the reduction of quinquevalent to trivalent phosphorus and their applications to standard synthetic procedures; emphasizes the preparation of phosphonates bearing hydroxy, amino, and thiol functions at the alpha-position relative to the phosphoryl group; reviews the basics of NM...
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
Endogenous Innovation
This ground-breaking new book builds upon the Schumpeterian creative response. The author shows that firms, in out-of-equilibrium conditions, try and react by means of introducing innovations. The success of their reaction is contingent upon their access conditions to knowledge, which are shaped by the system in which they operate. The emergence of new innovations can, in turn, knock firms further out-of-equilibrium and cause changes in the system properties that govern their access to external knowledge. This path dependent loop of interactions between the system properties and the individual actions of firms, accounts for endogenous innovation and the dynamics of the system.
The Evaluation Society
Evaluation—whether called by this name, quality assurance, audit, accreditation, or others—is an important social activity. Any organization that "lives in public" must now evaluate its activities, be evaluated by others, or evaluate others. What are the origins of this wave of evaluation? And, what worthwhile results emerge from it? The Evaluation Society argues that if we want to understand many of the norms, values, and expectations that we, sometimes unknowingly, bring to evaluation, we should explore how evaluation is demanded, formatted, and shaped by two great principles of social order: organization and society. With this understanding, we can more conscientiously participate in evaluation processes; better position ourselves to understand many of the mysteries, tensions, and paradoxes in evaluation; and use evaluation in a more informed way. After exploring the sociology and organization of evaluation in this landmark work, author Peter Dahler-Larsen concludes by discussing issues that are critical for the future of evaluation—as a discipline and a societal norm.
