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Intelligent Systems, Business, and Innovation Research

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Book Rating : 959/5 ( reviews)

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Book Synopsis Intelligent Systems, Business, and Innovation Research by : Rim El Khoury

Download or read book Intelligent Systems, Business, and Innovation Research written by Rim El Khoury. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Knowledge-Based Systems

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Release : 2010-04-28
Genre : Computers
Kind : eBook
Book Rating : 293/5 ( reviews)

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Book Synopsis Intelligent Knowledge-Based Systems by : Cornelius T. Leondes

Download or read book Intelligent Knowledge-Based Systems written by Cornelius T. Leondes. This book was released on 2010-04-28. Available in PDF, EPUB and Kindle. Book excerpt: This five-volume set clearly manifests the great significance of these key technologies for the new economies of the new millennium. The discussions provide a wealth of practical ideas intended to foster innovation in thought and, consequently, in the further development of technology. Together, they comprise a significant and uniquely comprehensive reference source for research workers, practitioners, computer scientists, academics, students, and others on the international scene for years to come.

Research and Development in Intelligent Systems XXXII

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Release : 2015-11-16
Genre : Computers
Kind : eBook
Book Rating : 329/5 ( reviews)

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Book Synopsis Research and Development in Intelligent Systems XXXII by : Max Bramer

Download or read book Research and Development in Intelligent Systems XXXII written by Max Bramer. This book was released on 2015-11-16. Available in PDF, EPUB and Kindle. Book excerpt: The papers in this volume are the refereed papers presented at AI-2015, the Thirty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2015 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning and Knowledge Acquisition, and AI in Action, followed by application stream sections on Applications of Genetic Algorithms, Applications of Intelligent Agents and Evolutionary Techniques, and AI Applications. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-second volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-third volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.

Research and Development in Intelligent Systems XXVI

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Release : 2009-10-28
Genre : Computers
Kind : eBook
Book Rating : 833/5 ( reviews)

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Book Synopsis Research and Development in Intelligent Systems XXVI by : Richard Ellis

Download or read book Research and Development in Intelligent Systems XXVI written by Richard Ellis. This book was released on 2009-10-28. Available in PDF, EPUB and Kindle. Book excerpt: The most common document formalisation for text classi?cation is the vector space model founded on the bag of words/phrases representation. The main advantage of the vector space model is that it can readily be employed by classi?cation - gorithms. However, the bag of words/phrases representation is suited to capturing only word/phrase frequency; structural and semantic information is ignored. It has been established that structural information plays an important role in classi?cation accuracy [14]. An alternative to the bag of words/phrases representation is a graph based rep- sentation, which intuitively possesses much more expressive power. However, this representation introduces an additional level of complexity in that the calculation of the similarity between two graphs is signi?cantly more computationally expensive than between two vectors (see for example [16]). Some work (see for example [12]) has been done on hybrid representations to capture both structural elements (- ing the graph model) and signi?cant features using the vector model. However the computational resources required to process this hybrid model are still extensive.

The Economics of Artificial Intelligence

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Release : 2024-03-05
Genre : Business & Economics
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Book Rating : 127/5 ( reviews)

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Book Synopsis The Economics of Artificial Intelligence by : Ajay Agrawal

Download or read book The Economics of Artificial Intelligence written by Ajay Agrawal. This book was released on 2024-03-05. Available in PDF, EPUB and Kindle. Book excerpt: A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

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