Now Publishers

Interference is the main performance-limiting factor of large wireless communication systems. To analyze and design these networks, it is thus imperative that the interference is statistically...

Internal Pricing surveys of the transfer pricing literature with a focus on commonly-used pricing schemes using incomplete contracting models. Chapter 2 develops the basic symmetric information model...

International Entrepreneurship as a Scholarly Field provides a comprehensive framework for understanding the complex nature of international entrepreneurship (IE). This monograph begins by defining...

Taxable income for a multinational enterprise (MNE) is determined on the basis of separate accounting where the incomes of a U.S. parent and its foreign subsidiaries are determined separately. When...

Internet Auctions reviews recent empirical and theoretical works on internet auctions with a focus on internet auction design, formats, and features that are currently debated in the marketing...

An Introduction to Frames is an introduction to redundant signal representations called frames. These representations have recently emerged as yet another powerful tool in the signal processing...

Wireless communication is the backbone of the digitized society, where everything is connected and intelligent. Access points and devices are nowadays equipped with multiple antennas to achieve...

Is Food Marketing Making Us Fat? reviews the literature in marketing, nutrition, psychology, economics and related disciplines that investigate the link between marketing activity, food intake and...

In an era where technology drives both day-to-day operations and strategic innovation, the role of IT leaders has become increasingly complex. IT Leadership: Balancing Competing Tensions in a Rapidly...

Kernel methods are among the most popular techniques in machine learning. From a regularization theory perspective, they provide a natural choice for the hypotheses space and the regularization...

Large Dimensional Factor Analysis provides a survey of the main theoretical results for large dimensional factor models, emphasizing results that have implications for empirical work. The authors...

A crucial component of perception is the understanding of information which has passed through a sensor's detection process. In the world of autonomous robotics this takes the form of sensor...

This monograph presents recent progress on using machine learning techniques to improve query optimizers in database systems. Centering around a generic paradigm of learned query optimizers, the...

Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest that in order to learn the kind of complicated...

Learning Representation and Control in Markov Decision Processes describes methods for automatically compressing Markov decision processes (MDPs) by learning a low-dimensional linear approximation...

Learning to Rank for Information Retrieval is an introduction to the field of learning to rank, a hot research topic in information retrieval and machine learning. It categorizes the state-of-the-art...

Submodular functions are relevant to machine learning for at least two reasons: (1) some problems may be expressed directly as the optimization of submodular functions, and (2) the Lov?sz extension...

Lifelogging represents a phenomenon whereby people can digitally record their own daily lives in varying amounts of detail, for a variety of purposes. In a sense it represents a comprehensive "black...

Line-Item Analysis of Earnings Quality provides a comprehensive summary and analysis of the specific earnings quality issues pertaining to key line item components of the financial statements. After...

In December 1974 the first realtime conversation on the ARPAnet took place between Culler- Harrison Incorporated in Goleta, California, and MIT Lincoln Laboratory in Lexington, Massachusetts. This...

Liquidity and Asset Prices reviews the literature that studies the relationship between liquidity and asset prices. The authors review the theoretical literature that predicts how liquidity affects a...

Over 60 years of research in coding theory, that started with the works of Shannon and Hamming, have given us nearly optimal ways to add redundancy to messages, encoding bit strings representing...

Long Range Dependence is a wide ranging survey of the ideas, models and techniques associated with the notion of long memory. It begins with a historical survey going back to W. Hurst and the Nile...

Long Run Relationships in Banking analyzes the effects of long run relationships in banking between corporate borrowers and lenders. The first part of the survey starts by briefly reviewing theory on...

In the thirty years since its inception, communication complexity has become a vital area of theoretical computer science. The applicability of communication complexity to other areas, including...

The ability to solve a system of linear equations lies at the heart of areas like optimization, scientific computing, and computer science and has traditionally been a central topic of research in...

The 5th generation (5G) of wireless systems is being deployed with the aim to provide many sets of wireless communication services, such as low data rates for a massive amount of devices, broadband,...

Majorization Theory and Matrix-Monotone Functions in Wireless Communications, reviews the basic definitions of Majorization Theory and Matrix-Monotone Functions, describing their concepts clearly...

The literature on the ISO standards is multidisciplinary and scattered around a broad collection of journals, making it near-impossible to get an overview of what we do and do not know about...

Manufacturing Tail Risk: A Perspective on the Financial Crisis of 2007-09 reviews the causes of the recent financial crisis and provides possible remedies for the future.Author: Viral V...