Now Publishers

Music Information Retrieval: Recent Developments and Applications surveys the young but established field of research that is Music Information Retrieval (MIR). In doing so, it pays particular...

Music Accessing and Retrieval is the first comprehensive survey of the vast new field of Music Information Retrieval (MIR). It describes a number of issues which are peculiar to the language of music...

Nascent Entrepreneurship reviews the empirical literature on 'nascent entrepreneurship', takes stock of these findings as well as theoretical and methodological developments, and concludes by...

Natural Language Processing as a Foundation of the Semantic Web argues that Natural Language Processing (NLP) does, and will continue to, underlie the Semantic Web (SW), including its initial...

The rise of audio deepfakes presents a significant security threat that undermines trust in digital communications and media. These synthetic audio technologies can convincingly mimic a person's...

Network Coding Applications looks at how ideas from network coding can have an impact on a number of new applications. Network coding is an elegant and novel technique introduced at the turn of the...

Network Coding Fundamentals reviews the basic techniques with emphasis on multicasting over error free links. It starts from the main theorem in network coding, and proceeds to discuss tools used in...

Network-based Research in Entrepreneurship: A Decade in Review summarizes the empirical and theoretical articles employing diverse methods that have been published since 2003 in the burgeoning...

Neurosymbolic Programming in Scallop: Principles and PracticeAuthor: Ziyang LiPublisher: Now PublishersPublication Date: Dec 30, 2024Number of Pages: 146 pagesBinding: Paperback or SoftbackISBN-10:...

New Directions for Corporate Governance: A Comparative Capitalisms Approach compares different corporate-governance systems and evaluates those systems in terms of different aspects of organizational...

Nonparametric Measurement of Productivity Growth and Technical Change explains how to isolate technical progress, scale effects, and efficiency changes as three distinct components of productivity...

Numerical simulation and modelling have been growing in importance and seeing steadily increasing practical application. The proliferation of applications and physical domains for which simulation...

Object Categorization presents foundations, original research and trends in the field of object categorization by computer vision methods. It provides a review of existing representations,...

The term Structure from Motion (SfM) was coined by the computer vision community to define the problem of estimating the three-dimensional structure of the scene and the motion from two-dimensional...

On Replenishment Rules, Forecasting and the Bullwhip Effect in Supply Chains focuses on supply chain co-ordination. The bullwhip effect is used as the key example of supply chain inefficiency. The...

This monograph presents a unified synthesis on how to design robust and predictive control approaches for discrete-time Linear Parameter Varying (LPV) systems. In particular, some recent results...

This book presents some new concentration inequalities for Feynman-Kac particle processes. It analyzes different types of stochastic particle models, including particle profile occupation measures,...

The NP-completeness of SAT is a celebrated example of the power of bounded-depth computation: the core of the argument is a depth reduction establishing that any small non-deterministic circuit -- an...

Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of accurate predictions given knowledge of...

This monograph provides a tutorial on a family of sequential learning and decision problems known as the multi-armed bandit problems. In such problems, any decision serves the purpose of exploring or...

Matching is a classic problem with a rich history and a significant impact on both the theory of algorithms and in practice. Recently, there has been a surge of interest in the online version of...

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online...

Sparse estimation methods are aimed at using or obtaining parsimonious representations of data or models. They were first dedicated to linear variable selection but numerous extensions have now...

Polynomials are perhaps the most important family of functions in mathematics. They feature in celebrated results from both antiquity and modern times, like the insolvability by radicals of...

Autonomous navigation is an essential capability for mobile robots. In order to operate robustly, a robot needs to know what the environment looks like, where it is in its environment, and how to...

Intellectual property and the patent system in particular have garnered a lot of attention, even in the public media, over the last few years. This monograph is not concerned with any of the...

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...

Performance Bounds and Suboptimal Policies for Multi-Period Investment examines dynamic trading of a portfolio of assets in discrete periods over a finite time horizon, with arbitrary time-varying...

Persistent Preferences in Market Place Choices has as its primary focus the type of brand loyalty that is not deeply rooted in values, emotions, and intense person-brand relationships. While some...

Pointer analysis is a fundamental static program analysis with a rich literature and wide applications. The goal of pointer analysis is to compute an approximation of the set of program objects that...