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Author: Barrie Gunter
Publisher: Springer
ISBN: 3319718037
Category : Performing Arts
Languages : en
Pages : 270
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Book Description
This book explores the different factors that can influence a new movie’s prospects at the box office. Looking at factors such as the production budget, distribution model, genre, stars and audience reactions of films, Gunter asks how such aspects may reduce the uncertainties of success so common in the movie industry. The reader is taken on a journey through filmmaking factors that, research suggests, impact box office performance. While box office revenues represent only part of a movie’s earning potential, Gunter highlights how theatrical performances remain central to what the movie business is about. The chapters illustrate how ticket sales are largely influenced by the production budget but also cultural differences and new movie platforms.
Author: Barrie Gunter
Publisher: Springer
ISBN: 3319718037
Category : Performing Arts
Languages : en
Pages : 270
Get Book Here
Book Description
This book explores the different factors that can influence a new movie’s prospects at the box office. Looking at factors such as the production budget, distribution model, genre, stars and audience reactions of films, Gunter asks how such aspects may reduce the uncertainties of success so common in the movie industry. The reader is taken on a journey through filmmaking factors that, research suggests, impact box office performance. While box office revenues represent only part of a movie’s earning potential, Gunter highlights how theatrical performances remain central to what the movie business is about. The chapters illustrate how ticket sales are largely influenced by the production budget but also cultural differences and new movie platforms.
Author: IEEE Staff
Publisher:
ISBN: 9781538663745
Category :
Languages : en
Pages :
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Book Description
It includes Object oriented analysis, continuous process modelling and improvement, cost estimation and project planning and effectiveness of agile lean practices, Web Engineering, Quality Management, Managing Software Projects, Multimedia and Visual Software Engineering, Software Maintenance and Testing, Languages and Formal Methods, Web based Education Systems and Learning Applications, Software Engineering Decision Making This track focuses on Natural language processing, artificial intelligence, and computational linguistics with respect to the interactions between computers and human languages It includes Genetic Algorithms, Grammatical Evolution, Differential Evolution, Probabilistic Meta heuristic, Swarm Intelligence, Ant Colony Algorithms, Artificial Immune Systems, High Performance Computing and Computational Intelligence, Fuzzy Logic, Bayesian statistical methods, Neural Networks, Multi Agent Systems, Stochastic Optimization It also focuses on focuses on Cloud and its servi
Author: Zhi-Hua Zhou
Publisher: CRC Press
ISBN: 1439830037
Category : Business & Economics
Languages : en
Pages : 238
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Book Description
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Author: Md. Shahriare Satu
Publisher: Springer Nature
ISBN: 303134622X
Category : Computers
Languages : en
Pages : 819
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Book Description
The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.
Author: Subhransu Sekhar Dash
Publisher: Springer Nature
ISBN: 9811555664
Category : Technology & Engineering
Languages : en
Pages : 781
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Book Description
This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6–8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.
Author: Hocine Cherifi
Publisher: Springer Nature
ISBN: 3030366839
Category : Technology & Engineering
Languages : en
Pages : 1047
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Book Description
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.
Author: Shigeo Abe
Publisher: Springer Science & Business Media
ISBN: 1447102851
Category : Computers
Languages : en
Pages : 332
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Book Description
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
Author: Cengiz Kahraman
Publisher: Springer
ISBN: 3030237567
Category : Technology & Engineering
Languages : en
Pages : 1392
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Book Description
This book includes the proceedings of the Intelligent and Fuzzy Techniques INFUS 2019 Conference, held in Istanbul, Turkey, on July 23–25, 2019. Big data analytics refers to the strategy of analyzing large volumes of data, or big data, gathered from a wide variety of sources, including social networks, videos, digital images, sensors, and sales transaction records. Big data analytics allows data scientists and various other users to evaluate large volumes of transaction data and other data sources that traditional business systems would be unable to tackle. Data-driven and knowledge-driven approaches and techniques have been widely used in intelligent decision-making, and they are increasingly attracting attention due to their importance and effectiveness in addressing uncertainty and incompleteness. INFUS 2019 focused on intelligent and fuzzy systems with applications in big data analytics and decision-making, providing an international forum that brought together those actively involved in areas of interest to data science and knowledge engineering. These proceeding feature about 150 peer-reviewed papers from countries such as China, Iran, Turkey, Malaysia, India, USA, Spain, France, Poland, Mexico, Bulgaria, Algeria, Pakistan, Australia, Lebanon, and Czech Republic.
Author: Jay Bhatt
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In this study, a comparison is made between Artificial Neural Network Algorithm and Machine Learning Algorithm of Support Vector Machine by considering pre-release and pre plus post release features of a movie for predicting a movie to a particular success class. These success classes includes Flop/Disaster, Average, Hit, Super-Hit and Block-Buster of a movie. Our best performing model from Artificial Neural Network and Support Vector Machine is able to give better performance in order to predict any particular movie to specific success class of a movie for both the cases of prerelease as well as pre plus post release features of a movie.
Author: Nayyar, Anand
Publisher: IGI Global
ISBN: 1799890147
Category : Computers
Languages : en
Pages : 284
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Book Description
Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.
