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Learning in Repeated Auctions
Online auctions are one of the most fundamental facets of the modern economy and power an industry generating hundreds of billions of dollars a year in revenue. Online auction theory has historically focused on the question of designing the best way to sell a single item to potential buyers relying on some prior knowledge agents were assumed to have on each other. In new markets, such as online advertising, however, similar items are sold repeatedly, and agents are unaware of each other or might try to manipulate each other, making the assumption invalid. Statistical learning theory now provides tools to supplement those missing pieces of information given enough data, as agents can learn fr...
DevOps for Trustworthy Smart IoT Systems
ENACT is a research project funded by the European Commission under its H2020 program. The project consortium consists of twelve industry and research member organisations spread across the whole EU. The overall goal of the ENACT project was to provide a novel set of solutions to enable DevOps in the realm of trustworthy Smart IoT Systems. Smart IoT Systems (SIS) are complex systems involving not only sensors but also actuators with control loops distributed all across the IoT, Edge and Cloud infrastructure. Since smart IoT systems typically operate in a changing and often unpredictable environment, the ability of these systems to continuously evolve and adapt to their new environment is dec...
How to Publish Now
How To Publish Now reviews the world of self-publishing, examines and compares the leading digital or Print on Demand (POD) publishers, reveals the costs and benefits to writers in the printing packages offered, recommends how to select a publisher, and warns writers to stay away from the costly and unproven marketing packages - some costing upwards of $14,000. Learn how to publish your novel, poetry, family history, cook, photography, how-to, or nonfiction book by a reputable publisher and have it listed on Amazon at minimal cost. How To Publish Now: >Demonstrates how to prepare your manuscript for publication. >Demonstrates how to publish efficiently at minimal cost. >Reviews over 25 digit...
SpiNNaker - A Spiking Neural Network Architecture
This books tells the story of the origins of the world's largest neuromorphic computing platform, its development and its deployment, and the immense software development effort that has gone into making it openly available and accessible to researchers and students the world over
Applied Signal Processing
Being an inter-disciplinary subject, Signal Processing has application in almost all scientific fields. Applied Signal Processing tries to link between the analog and digital signal processing domains. Since the digital signal processing techniques have evolved from its analog counterpart, this book begins by explaining the fundamental concepts in analog signal processing and then progresses towards the digital signal processing. This will help the reader to gain a general overview of the whole subject and establish links between the various fundamental concepts. While the focus of this book is on the fundamentals of signal processing, the understanding of these topics greatly enhances the confident use as well as further development of the design and analysis of digital systems for various engineering and medical applications. Applied Signal Processing also prepares readers to further their knowledge in advanced topics within the field of signal processing.
Computational Studies of Human Motion
Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis reviews methods for kinematic tracking of the human body in video. The review confines itself to the earlier stages of motion, focusing on tracking and motion synthesis. There is an extensive discussion of open issues. The authors identify some puzzling phenomena associated with the choice of human motion representation --- joint angles vs. joint positions. The review concludes with a quick guide to resources and an extensive bibliography of over 400 references. Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis is an invaluable reference for those engaged in computational geometry, computer graphics, image processing, imaging in general, and robotic.
A Review of Taxes and Corporate Finance
A Review of Taxes and Corporate Finance investigates the consequences of taxation on corporate finance focusing on how taxes affect corporate policies and firm value. A common theme is that tax rules affect corporate incentives and decisions. A second emphasis is on research that describes how taxes affect costs and benefits. A Review of Taxes and Corporate Finance explores the multiple avenues for taxes to affect corporate decisions including capital structure decisions, organizational form and restructurings, payout policy, compensation policy, risk management, and the use of tax shelters. The author provides a theoretical framework, empirical predictions, and empirical evidence for each of these areas. Each section concludes with a discussion of unanswered questions and possible avenues for future research. A Review of Taxes and Corporate Finance is valuable reading for researchers and professionals in corporate finance, corporate governance, public finance and tax policy.
Toeplitz and Circulant Matrices
The fundamental theorems on the asymptotic behavior of eigenvalues, inverses, and products of banded Toeplitz matrices and Toeplitz matrices with absolutely summable elements are derived in a tutorial manner. Mathematical elegance and generality are sacrificed for conceptual simplicity and insight in the hope of making these results available to engineers lacking either the background or endurance to attack the mathematical literature on the subject. By limiting the generality of the matrices considered, the essential ideas and results can be conveyed in a more intuitive manner without the mathematical machinery required for the most general cases. As an application the results are applied t...
A Framework for Web Science
Originally published as Foundations and trends in web science; vol. 1, issue 1.
Performance Analysis of Linear Codes Under Maximum-likelihood Decoding
Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial focuses on the performance evaluation of linear codes under optimal maximum-likelihood (ML) decoding. Though the ML decoding algorithm is prohibitively complex for most practical codes, their performance analysis under ML decoding allows to predict their performance without resorting to computer simulations. Performance Analysis of Linear Codes under Maximum-Likelihood Decoding: A Tutorial is a comprehensive introduction to this important topic for students, practitioners and researchers working in communications and information theory.
