Bøger udgivet af now publishers Inc

Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problems.

Examines the various privacy breaches that may arise due to the use of LBSs, and considers and compares the mechanisms and metrics that have been proposed to protect user privacy, focusing in particular on a comparison between probabilistic spatial obfuscation techniques.

The primary focus of this book is on analysts' activities, the information that is important to them, who benefits from their activities, and how regulation and information technology have changed their environment in recent years.

The objective of Policies for the Provision of Finance to Science-Based Entrepreneurship is to survey the policies implemented to foster the establishment of science-based firms and finance their growth.

This monograph provides an overview of recent developments in main-memory database systems.

Multi-Period Trading via Convex Optimization collects in one place the basic definitions, a careful description of the model, and discussion of how convex optimization can be used in multi-period trading, all in a common notation and framework.

By building robotic systems with soft materials, we can realize systems that are safer, cheaper, and more adaptable than the level that conventional rigid-material robots can achieve. This volume introduces the fundamental aspects of this vibrant research topic from history, modelling, control, and system integration.

The separation between ownership and control creates many challenges for the modern-day firm, and the board's role in the strategy formation process is arguably the seminal governance challenge confronting boards today. Board Involvement in the Strategic Decision Making Process examines this seminal challenge.

Introduces a conceptual framework to understand how globalization is changing the marketplace and the way consumers bring cultural meanings and identities to the fore of their minds; the mechanisms by which brands acquire cultural meanings; and the tools that marketers have to purposefully imbue brands with cultural meanings.

Offers insightful knowledge of real-world systems, to bridge the gaps between industry and academia, and to provide an overview of the fundamental infrastructure, algorithms, and technical and research challenges of the new frontier of computational advertising.

Applications of Topic Models describes the recent academic and industrial applications of topic models with the goal of launching a young researcher capable of building their own applications of topic models.

This monograph explores the main issues involved in enterprise search both from a research as well as a practical point of view. It plots the landscape of enterprise search and its links to related areas, identifying key features before surveying the field in more detail.

Surveys the state of the art in secure processor systems, with a specific focus on remote software attestation and software isolation. This two part work advocates a principled, transparent approach to system design, and argues that practical guarantees of privacy and integrity for remote computation are achievable.

Surveys the state of the art in secure processor systems, with a specific focus on remote software attestation and software isolation. The book examines the relevant concepts in computer architecture and cryptography, and then surveys attack vectors and existing processor systems claiming security for remote computation and/or software isolation.

Duality of the Max-Plus and Min-Plus Network Calculus gives an accessible and concise review of the research conducted in Network Calculus to date.

Provides a general overview of the state-of-the-art approaches to program synthesis, its applications, and subfields. The book discusses the general principles common to all modern synthesis approaches such as syntactic bias, oracle-guided inductive search, and optimization techniques.

Focuses on multiple choice schemes where items are placed into buckets via the use of several independent hash functions, and typically an item is placed at the least loaded bucket at the time of placement. This book analyses the distributions obtained, and shows how these ideas could be used to design basic data structures.

Presents recently developed approaches in automotive control systems design that take implementation resources into consideration, aiming to improve the control performances for a given amount of resources, or equivalently, realize the required control performances with fewer resources.

Considers the broad multi-disciplinary problem of providing sustainable and resilient electricity services. The book introduces technology-agnostic unified modelling foundations and illustrates their use toward end-to-end cyber design for provable performance of complex electric energy systems.

There has been a recent marked increase in the amount of spatial data collected by smart phones, space telescopes, and medical devices, among others. The increased volume has brought into focus the need for specialized systems to handle big spatial data. This volume summarizes the state-of-the-art in this area.

Solving estimation problems is a fundamental component of numerous robotics applications. Algorithms for solving these estimation problems need to cope with new challenges. This book addresses these challenges by providing an introduction to robust estimation with a particular focus on robotics.

In the U.S. and throughout most of the world, university research is becoming increasingly bureaucratized. Bureaucratization in Academic Research Policy: What Causes It? explains the reasons of bureaucratization and, in doing so, relies on theory and research about red tape and bureaucratic pathology.

Provides a systematic overview of the field of Human-Robot Interaction over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.

Introduces and reviews Sparse Sensing, a technique that is proving to be an efficient and cost-effective method for data collection. The book provides the reader with a comprehensive overview of this technique and a framework that can be used in implementing the technique in practical sensing systems.

Examines the history and the current state of the art in this nascent field. This draws upon the extensive foundations and literature in human-centered computing to identify and adapt models and methods that are relevant for canines.

Provides a comprehensive summary of previous research in aggregated search. The book starts by describing why aggregated search requires unique solutions. It concludes by highlighting the main trends and discussing short-term and long-term areas for future work.

Failures in OCR strategies to optimize the trade-offs between responsiveness and variety are rooted in a poor understanding of how OCR strategies should build on last-mile supply network (LMSN) distribution configurations. This book addresses this issue by developing a typology of LMSN distribution configurations in OCR.