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Author: Albert N. Link Publisher: Oxford University Press ISBN: 0199708843 Category : Political Science Languages : en Pages : 209
Book Description
Government acts as entrepreneur when its involvement in market activities is both innovative and characterized by entrepreneurial risk. Thinking of government as entrepreneur is a unique lens through which the authors of this book examine a specific subset of U.S. government policy actions. As such, their viewpoint underscores the purposeful intent of government, its ability to act in new and innovative ways, and its willingness to undertake policy actions that have uncertain outcomes. Viewing particular policy actions through an entrepreneurial lens is useful in two broad dimensions. First, it underscores the forward looking nature of policy makers as well as the need to evaluate the social outputs and outcomes of their behavior in terms of broad spillover impacts. Second, government acting as entrepreneur parallels in concept similar activities that occur in the private sector. Government as Entrepreneur is the first broad effort to emphasize the entrepreneurial aspects of governments. It is also the first systematic treatment of U.S. innovation policies to promote the formation of strategic research partnerships. It will foster a new perspective on the role of government and how incentives for government to act entrepreneurially might be institutionalized; it will serve as a vehicle for policy makers and scholars to think about the entrepreneurial actors in an economy, in a new way.
Author: Albert N. Link Publisher: Oxford University Press ISBN: 0199708843 Category : Political Science Languages : en Pages : 209
Book Description
Government acts as entrepreneur when its involvement in market activities is both innovative and characterized by entrepreneurial risk. Thinking of government as entrepreneur is a unique lens through which the authors of this book examine a specific subset of U.S. government policy actions. As such, their viewpoint underscores the purposeful intent of government, its ability to act in new and innovative ways, and its willingness to undertake policy actions that have uncertain outcomes. Viewing particular policy actions through an entrepreneurial lens is useful in two broad dimensions. First, it underscores the forward looking nature of policy makers as well as the need to evaluate the social outputs and outcomes of their behavior in terms of broad spillover impacts. Second, government acting as entrepreneur parallels in concept similar activities that occur in the private sector. Government as Entrepreneur is the first broad effort to emphasize the entrepreneurial aspects of governments. It is also the first systematic treatment of U.S. innovation policies to promote the formation of strategic research partnerships. It will foster a new perspective on the role of government and how incentives for government to act entrepreneurially might be institutionalized; it will serve as a vehicle for policy makers and scholars to think about the entrepreneurial actors in an economy, in a new way.
Author: Gustavo Olague Publisher: Springer ISBN: 3662436930 Category : Computers Languages : en Pages : 432
Book Description
This book explains the theory and application of evolutionary computer vision, a new paradigm where challenging vision problems can be approached using the techniques of evolutionary computing. This methodology achieves excellent results for defining fitness functions and representations for problems by merging evolutionary computation with mathematical optimization to produce automatic creation of emerging visual behaviors. In the first part of the book the author surveys the literature in concise form, defines the relevant terminology, and offers historical and philosophical motivations for the key research problems in the field. For researchers from the computer vision community, he offers a simple introduction to the evolutionary computing paradigm. The second part of the book focuses on implementing evolutionary algorithms that solve given problems using working programs in the major fields of low-, intermediate- and high-level computer vision. This book will be of value to researchers, engineers, and students in the fields of computer vision, evolutionary computing, robotics, biologically inspired mechatronics, electronics engineering, control, and artificial intelligence.
Author: Zhong-Ping Jiang Publisher: Now Publishers ISBN: 9781680837520 Category : Technology & Engineering Languages : en Pages : 122
Book Description
The recent success of Reinforcement Learning and related methods can be attributed to several key factors. First, it is driven by reward signals obtained through the interaction with the environment. Second, it is closely related to the human learning behavior. Third, it has a solid mathematical foundation. Nonetheless, conventional Reinforcement Learning theory exhibits some shortcomings particularly in a continuous environment or in considering the stability and robustness of the controlled process. In this monograph, the authors build on Reinforcement Learning to present a learning-based approach for controlling dynamical systems from real-time data and review some major developments in this relatively young field. In doing so the authors develop a framework for learning-based control theory that shows how to learn directly suboptimal controllers from input-output data. There are three main challenges on the development of learning-based control. First, there is a need to generalize existing recursive methods. Second, as a fundamental difference between learning-based control and Reinforcement Learning, stability and robustness are important issues that must be addressed for the safety-critical engineering systems such as self-driving cars. Third, data efficiency of Reinforcement Learning algorithms need be addressed for safety-critical engineering systems. This monograph provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.
Author: John Solomos Publisher: Taylor & Francis ISBN: 1000455017 Category : Social Science Languages : en Pages : 218
Book Description
This edited collection brings together social scientists working on race and ethnicity to address the question of the impact of the Covid-19 pandemic, with a focus on issues linked to racial and ethnic inequalities. The fourteen chapters that make up this collection were produced during the pandemic in 2020 and are intended to address key facets of the impact of the pandemic in contemporary Europe, the United States, and globally. Individual chapters address the pandemic by drawing both on empirical research and conceptual analysis. They also seek to draw important connections between broader dimensions of racial and ethnic inequalities and the health inequalities that have been highlighted by the sharp impact of the pandemic on particular communities and groups. This volume speaks to the need for researchers working on race and ethnicity to respond to the Covid-19 pandemic through both original research and by reflection on current policy challenges and interventions. The chapters in this book were originally published as a themed issue of Ethnic and Racial Studies.
Author: Sergey V. Ablameyko Publisher: Springer Nature ISBN: 303035430X Category : Computers Languages : en Pages : 320
Book Description
This book constitutes the refereed proceedings of the 14th International Conference on Pattern Recognition and Information Processing, PRIP 2019, held in Minsk, Belarus, in May 2019. The 25 revised full papers were carefully reviewed and selected from 120 submissions. The papers of this volume are organized in topical sections on pattern recognition and image analysis; information processing and applications.
Author: Alejandro Frangi Publisher: Academic Press ISBN: 0128136588 Category : Technology & Engineering Languages : en Pages : 700
Book Description
Medical Image Analysis presents practical knowledge on medical image computing and analysis as written by top educators and experts. This text is a modern, practical, self-contained reference that conveys a mix of fundamental methodological concepts within different medical domains. Sections cover core representations and properties of digital images and image enhancement techniques, advanced image computing methods (including segmentation, registration, motion and shape analysis), machine learning, how medical image computing (MIC) is used in clinical and medical research, and how to identify alternative strategies and employ software tools to solve typical problems in MIC. Provides an authoritative description of key concepts and methods Includes tutorial-based sections that clearly explain principles and their application to different medical domains Presents a representative selection of topics to match a modern and relevant approach to medical image computing
Author: Chacha Murungu Publisher: PULP ISBN: 0986985783 Category : Africa south of Sahara Languages : en Pages : 376
Book Description
"Prosecuting international crimes in Africa contributes to the understanding of international criminal justice in Africa. The books argues for the rule of law, respect for human rights and the eradication of a culture of impunity in Africa. it is a product of peer-reviewed contributions from graduates of the Centre for Human Rights, Faculty of Law, University of Pretoria, where the Master's degree programme in Human Rights and Democratisation in Africa has been presented since 2000"--Back cover.
Author: Albert N. Link
Author: Albert N. Link
Author: Gustavo Olague
Author: Zhong-Ping Jiang
Author: Conference on International Finance
Author: John Solomos
Author: Conference Organizational Innovation and Corporate Performance
Author: Sergey V. Ablameyko
Author: Alejandro Frangi
Author: Chacha Murungu
Author: