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Provides a comprehensive overview of mining experiential knowledge bearing on human activities, with an emphasis on the use of the Web. Starting with definitions of activities and experiences, the book elaborates on various views of human activities in cognitive science, including knowledge representation schemes.

Reviews different state-of-the-art mechanisms that do in-body energy harvesting as well as out-of-body wireless power delivery. The details of the energy source, transmission media, energy harvesting and coupling techniques, and the required energy transducers are discussed. The merits and disadvantages of each approach is presented.

Surveys the classical economic theory of Bayesian mechanism design and recent advances from the perspective of algorithms and approximation. Classical economics gives simple characterizations of Bayes-Nash equilibrium and optimal mechanisms when the agents' preferences are linear and single-dimensional.

Describes the emergence of the e-discovery field, identifies the information retrieval issues that arise, reviews the work to date on this topic, and summarises major open issues. This is an ideal primer for anyone with an interest in e-discovery.

Bivariate Markov processes play a central role in the theory and applications of estimation, control, queuing, biomedical engineering, and reliability. This book presents some of the fundamentals of the theory of bivariate Markov processes, and reviews the parameters and signal estimation approaches that are associated with these Markov processes.

Provides engineering students who have a basic training in economic modeling and game theory an understanding of where and when game theoretic models are employed, the assumptions underpinning key models, and conceptual insights that are broadly applicable.

Illustrates the emerging paradigm of employing Laplacian solvers to design novel fast algorithms for graph problems through a small but carefully chosen set of examples. A significant part of this book is also dedicated to developing the ideas that go into the construction of near-linear time Laplacian solvers.

Covers the rise of university technology transfer since the 1980s, as well as the economic and academic benefits that stem from the commercialization of university-discovered technologies. The book reviews existing literature regarding university technology transfer in terms of the process within the traditional linear model.

Provides an extensive survey of research work and results on key aspects of HESS, including system architecture, design optimization, and applications. The book covers the basics of HESS, starting from the energy storage element technologies and homogeneous ESS to the architecture, optimization schemes, and applications.

Surveys coding techniques for Networked Distributed Storage Systems, which aim at achieving fault tolerance efficiently and good repairability characteristics to replenish the lost redundancy, and ensure data durability over time.

Provides a thorough examination of this topic for students and researchers alike. While nonparametric estimators are widely used to estimate the productive efficiency of firms and other organizations, it is often done without any attempt to make statistical inference.

Mathematically, a multi-armed bandit is defined by the payoff process associated with each option. In this book, the focus is on two extreme cases in which the analysis of regret is particularly simple and elegant: independent and identically distributed payoffs and adversarial payoffs.

Offers a comprehensive review of AFIT research. The book is designed both to introduce new scholars to this field and to encourage active researchers to expand frontiers related to accounting for income taxes. It includes both a primer about the rules governing AFIT and a review of the scholarly studies in the field.

Reviews and illustrates earnings management, conservatism, and their effects on earnings quality in an economic modeling framework. Both earnings management and conservative accounting introduce biases to financial reports. The primary issue addressed is what economic effects these biases have on earnings quality or financial reporting quality.

The technique underlying polar codes is "channel polarization": creating extremal channels those that are either noiseless or useless from mediocre ones. Polarization and Polar Codes offer an in-depth tutorial on this exciting technique that promises to offer major improvements in digital communications systems.

Explains the models and techniques used in this literature as simply as possible, with the intent of making the literature more accessible; introduces the reader to the main strands of this literature; and explains how dynamic models can be taken to the data and be estimated with the intent to provide a practical, hands-on guide.

Standard treatments of continuous-time processes typically don't mention how to adapt the discrete-time linear model concepts and lag operator methods to continuous time. This book attempts that translation and exposits the techniques to make the translation from familiar discrete-time ideas.

Provides a cohesive discussion of the existing solution methods associated with the weighted sum-rate maximization problem, including global, fast local, as well as decentralized. General optimization approaches, such as branch and bound methods, complementary geometric programming, and decomposition methods, are also discussed.

Evidence suggests that cost-effective preventive measures are sometimes rewarded by insurers in ways that could change their clients' behavior. These examples reveal that insurance activities are not always in the best interest of individuals at risk. This book discusses such behavior with the intent of categorizing these insurance "anomalies".

Introduces the fundamentals of Markovian modeling in image segmentation as well as providing a brief overview of recent advances in the field. Segmentation is considered in a common framework, called image labelling, where the problem is reduced to assigning labels to pixels.

Examines the resolution mechanisms for corporate financial distress and bankruptcy not only in the private domain but also in the public domain, and uses corporate finance paradigms to interpret some of these far-reaching developments in financial distress of a systemic nature.

Provides estimates of the annual cost of crime in the United States. This study estimates the burden of a broad set of crime's repercussions, both direct and indirect, to tell a more complete story. The comprehensive approach adopted captures several types of cost shifting that can result from crime prevention efforts.

Provides a comprehensive tutorial aimed at application-oriented practitioners seeking to apply CRFs. The monograph does not assume previous knowledge of graphical modeling, and so is intended to be useful to practitioners in a wide variety of fields.

Provides a comprehensive overview of game theory covering the foundations of the theory of non-cooperative and cooperative games, both static and dynamic. The book also highlights new trends in cooperative differential games, learning, approachability (games with vector payoffs) and mean-field games (large number of homogeneous players).

Where do robots get their information? For a given task, what information is necessary? What is even meant by "information"? These questions lie at the heart of robotics. In this book, the author presents an unusual view of these subjects by characterizing the uncertainty due to the many-to-one mappings between the world and sensor readings.

Provides an overview of the state-of-the-art of biometric security systems. Using information theoretic techniques, the book discusses some of the most promising methods to provide practical, but safe systems. It studies a number of problems related to the design of biometric secrecy systems for both authentication and identification.

Describes basic principles and recent developments in building approximate synopses (that is, lossy, compressed representations) of massive data. The book focuses on the four main families of synopses: random samples, histograms, wavelets, and sketches.

Explores different methods to design or learn valid kernel functions for multiple outputs, paying particular attention to the connection between probabilistic and regularization methods. The book is aimed at researchers interested in the theory and application of kernels for vector-valued functions.

Analyzes the effects of long run relationships in banking between corporate borrowers and lenders. The author also analyzes the impact of competition on relationships, and reviews the evidence on direct importance of soft information in lending providing a validation of the continued specialness of banks.

Presents some new concentration inequalities for Feynman-Kac particle processes. The book analyses different types of stochastic particle models, including particle profile occupation measures, genealogical tree based evolution models, particle free energies, as well as backward Markov chain particle models.