Now Publishers

Algorithmic Results in List Decoding introduces and motivates the problem of list decoding, and discusses the central algorithmic results of the subject, culminating with the recent results on...

Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast internal memory and...

Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We have created various computer-mediated virtual environments, including social networks, video conferencing,...

Alphanomics: The Informational Underpinnings of Market Efficiency is intended to be a compact introduction to academic research on market efficiency, behavioral finance, and fundamental analysis and...

The interaction between communication entities, which is unique in the network setting, have been at the root of many difficult challenges in communications and information theory. This monograph...

An Introduction to Conditional Random Fields provides a comprehensive tutorial aimed at application-oriented practitioners seeking to apply CRFs. The monograph does not assume previous knowledge of...

The earliest research into time-to-event outcomes can be dated back to the 17th century. Here the initial focus was predicting time until death, hence the term survival analysis. Applications of...

Introduction to Digital Speech Processing highlights the central role of DSP techniques in modern speech communication research and applications. It presents a comprehensive overview of digital...

Random matrices now play a role in many areas of theoretical, applied, and computational mathematics. It is therefore desirable to have tools for studying random matrices that are flexible, easy to...

An Introduction to Robust Mechanism Design brings together and presents a number of results on the theme of robust mechanism design and robust implementation that the authors have been working on in...

Training a deep neural network to maximize a target objective has become the standard recipe for successful machine learning over the last decade. These networks can be optimized with supervised...

An Operations Management Perspective on Design Thinking provides a map of what is known about mechanisms of design thinking when looking through an operations management lens and identifies areas...

Application of Dual-process Theory to Information Systems: Current and Future Research Directions addresses the dual-process approach to attitude formation as it has been applied to the domain of...

Arabic is ranked as the seventh largest language on the Internet but it has also been the fastest growing language in the last decade in terms of users. At this rate of growth, Arabic users should...

Database Management Systems (DBMSs) are a ubiquitous and critical component of modern computing, and the result of decades of research and development in both academia and industry. Architecture of a...

A large class of problems in symbolic computation can be expressed as the task of computing some polynomials; and arithmetic circuits form the most standard model for studying the complexity of such...

Artificial Intelligence and Entrepreneurship reviews the emerging and fast-growing literature on the impacts of AI on entrepreneurship, providing a resource for researchers in entrepreneurship and...

In the past decade of marketing scholarship, researchers have begun to examine the promise of AI technology to address practical problems through a consumer lens. Artificial Intelligence in Marketing...

This self-contained tutorial presents a unified treatment of single- and multi-user problems in Shannon's information theory considering in particular the cases that depart from the requirement that...

Monte Carlo methods, in particular those based on Markov chains and on interacting particle systems, are by now tools that are routinely used in machine learning. These methods have had a profound...

Systems wherein strategic agents compete for limited resources are ubiquitous. For example, the economy, computer networks, social networks, congestion networks, nature, and so on. Assuming the...

Bayesian Multivariate Time Series Methods for Empirical Macroeconomics provides a survey of the Bayesian methods used in modern empirical macroeconomics.Author: Gary KoopPublisher: Now...

Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms. This monograph provides the reader with...

Behavioral Economics and the Law begins with the early evolution of behavioral economics both outside and within legal policy analysis and then describes the central role of behavioral economics in...

Behavioral Operations Management stems from a long observed gap in operations management on our understanding of human behavior and the emergence of a set of methods that promise the potential of...

In today's fast-paced retail world, consumers face an overwhelming array of product choices, and retailers are constantly seeking new ways to steer their purchasing decisions. Behavioral Retail...

Behavioralizing Finance provides a structured approach to behavioral finance in respect to underlying psychological concepts, formal framework, testable hypotheses, and empirical findings.Author:...

The field of computer vision is now a multi-billion dollar enterprise, with its use in surveillance applications driving this large market share. In the last six years, computer vision researchers...

Bifurcation of Macroeconometric Models and Robustness of Dynamical Inferences provides an overview of the classes of macroeconometric models for which bifurcation experiments have so far been run,...

The issue of biometric security has become a major research area recently. While systems based on iris-recognition, DNA analysis and fingerprinting are being deployed there are instances where these...