Download or read book Optimal Resource Allocation to Maximize Model Accuracy written by Guillermo Leo Dankert and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data guided Resource Allocation to Improve User Experience in Computer Networks written by Yanan Bao and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods have been widely used in modeling and predicting user experience in computer networks. In our work, moving beyond user experience prediction, we propose a novel closed-loop approach that uses data-generated prediction models to explicitly guide resource allocation for user experience improvement. The approach consists of three component: 1) To train a classifier (e.g., logistic regression, neural network, decision tree, random forest) to predict user experience, 2) to utilize the trained classifier as the objective function to decide network resource allocation, and 3) to (in)validate and adjust the initial model based on user feedback with allocated resource. In the following, we discuss our contributions in details. Firstly, the resource allocation problem based on the learned models is challenging because of its large scale and non-convexity. We propose a Dual decomposition algorithm to obtain a near optimal solution efficiently. In a case study, we use a dataset provided by a tier-1 cellular operator in China to build models that predict user complaints with high accuracy, and then based on the trained model to allocate resources. The performance of our resource allocation algorithms achieve 2x performance gain compared with an optimized baseline. Secondly, the feedback component is used to obtain an optimized classifier to guide more efficient resource allocation. Since after resource allocation based on the initial classifier, user distribution could change, and therefore the initial classifier may no longer be optimal to guide resource allocation. To address this issue, we further develop an iterative mechanism for classifier optimization. Numerical simulations based on both synthetic and real network datasets demonstrate that the optimized classifier further improves the performance by 50%. Finally, we study the new application of 360-degree video transmission. We propose a motion-prediction-based transmission scheme that reduces the bandwidth consumption while providing user experience guarantees. Based on the collected viewer motion data, we develop regression schemes that predict not only the viewpoint but also the prediction accuracy. With such predictions, we develop a set of partial content transmission schemes that minimize bandwidth consumption while guaranteeing viewer experience. Our trace driven simulation results demonstrate significant bandwidth reduction under strong performance guarantees. For example, with a prediction time scale of 0.2s, our proposed scheme can reduce 45% bandwidth consumption while guaranteeing a 0.1% failure ratio.

Download or read book Optimal Resource Allocation written by Igor A. Ushakov and published by John Wiley & Sons. This book was released on 2013-05-17 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: A UNIQUE ENGINEERING AND STATISTICAL APPROACH TO OPTIMAL RESOURCE ALLOCATION Optimal Resource Allocation: With Practical Statistical Applications and Theory features the application of probabilistic and statistical methods used in reliability engineering during the different phases of life cycles of technical systems. Bridging the gap between reliability engineering and applied mathematics, the book outlines different approaches to optimal resource allocation and various applications of models and algorithms for solving real-world problems. In addition, the fundamental background on optimization theory and various illustrative numerical examples are provided. The book also features: An overview of various approaches to optimal resource allocation, from classical Lagrange methods to modern algorithms based on ideas of evolution in biology Numerous exercises and case studies from a variety of areas, including communications, transportation, energy transmission, and counterterrorism protection The applied methods of optimization with various methods of optimal redundancy problem solutions as well as the numerical examples and statistical methods needed to solve the problems Practical thoughts, opinions, and judgments on real-world applications of reliability theory and solves practical problems using mathematical models and algorithms Optimal Resource Allocation is a must-have guide for electrical, mechanical, and reliability engineers dealing with engineering design and optimal reliability problems. In addition, the book is excellent for graduate and PhD-level courses in reliability theory and optimization.

Download or read book Scalable Optimization via Probabilistic Modeling written by Martin Pelikan and published by Springer. This book was released on 2007-01-12 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and then concludes with relevant applications. The emphasis on e?ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e?ective surrogates, hybrids, and parallel and temporal decompositions.

Download or read book Data Envelopment Analysis DEA Methods for Maximizing Efficiency written by Ajibesin, Adeyemi Abel and published by IGI Global. This book was released on 2024-01-16 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's highly competitive and rapidly evolving global landscape, the quest for efficiency has become a crucial factor in determining the success of organizations across various industries. Data Envelopment Analysis (DEA) Methods for Maximizing Efficiency is a comprehensive guide that delves into the powerful mathematical tool of DEA, is designed to assess the relative efficiency of decision-making units (DMUs), and provides valuable insights for performance improvement. This book presents a systematic overview of DEA models and techniques, from fundamental concepts to advanced methods, showcasing their practical applications through real-world examples and case studies. Catering to a broad audience, this book is designed for students, researchers, consultants, decision-makers, and enthusiasts in the field of efficiency analysis and performance measurement. Consultants and practitioners will gain practical insights for applying DEA in various contexts, and decision-makers will be equipped to make informed decisions for maximizing efficiency. Additionally, individuals with a general interest in data analysis and performance measurement will find this book accessible and informative. This book covers a wide range of topics, including mathematical foundations of DEA, DEA models and variations, DEA efficiency and productivity measures, DEA applications in various industries such as healthcare, finance, supply chain management, environmental management, education management, and public sector management.

Download or read book Toward a Unified View of the Speed Accuracy Trade Off Behaviour Neurophysiology and Modelling written by Dominic Standage and published by Frontiers Media SA. This book was released on 2016-02-18 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Everyone is familiar with the speed-accuracy trade-off (SAT). To make good choices, we need to balance the conflicting demands of fast and accurate decision making. After all, hasty decisions often lead to poor choices, but accurate decisions may be useless if they take too long. This notion is intuitive because it reflects a fundamental aspect of cognition: not only do we deliberate over the evidence for decisions, but we can control that deliberative process. This control raises many questions for the study of choice behaviour and executive function. For example, how do we figure out the appropriate balance between speed and accuracy on a given task? How do we impose that balance on our decisions, and what is its neural basis? Researchers have addressed these and related questions for decades, using a variety of methods and offering answers at different levels of abstraction. Given this diverse methodology, our aim is to provide a unified view of the SAT. Extensive analysis of choice behaviour suggests that we make decisions by accumulating evidence until some criterion is reached. Thus, adjusting the criterion controls how long we accumulate evidence and therefore the speed and accuracy of decisions. This simple framework provides the platform for our unified view. In the pages that follow, leading experts in decision neuroscience consider the history of SAT research, strategies for determining the optimal balance between speed and accuracy, conditions under which this seemingly ubiquitous phenomenon breaks down, and the neural mechanisms that may implement the computations of our unifying framework.

Download or read book 2021 IEEE 93rd Vehicular Technology Conference VTC2021 Spring written by IEEE Staff and published by . This book was released on 2021-04-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of this conference will include the following fields of interests Antenna Systems, Propagation, and RF Design, Signal Transmission and Reception, Spectrum Sharing, Spectrum Management, and Cognitive Radio, Multiple Antenna Systems and Cooperative Communications, Radio Access Technology and Heterogeneous Networks, Green Communications and Networks, IoT, M2M, Sensor Networks, and Ad Hoc Networking, Wireless Networks Protocols, Security and Services, Positioning, Navigation and Mobile Satellite System, Unmanned Aerial Vehicle Communications, Vehicular Networks, and Telematics, Electric Vehicles, Vehicular Electronics, and Intelligent Transportation, Future Trends, and Emerging Technologies

Download or read book Machine Learning and Optimization Models for Optimization in Cloud written by Punit Gupta and published by CRC Press. This book was released on 2022-02-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of service, least time for computation and high reliability. With increase in services migrating over cloud providers, the load over the cloud increases resulting in fault and various security failure in the system results in decreasing reliability. To fulfill this requirement cloud system uses intelligent metaheuristic and prediction algorithm to provide resources to the user in an efficient manner to manage the performance of the system and plan for upcoming requests. Intelligent algorithm helps the system to predict and find a suitable resource for a cloud environment in real time with least computational complexity taking into mind the system performance in under loaded and over loaded condition. This book discusses the future improvements and possible intelligent optimization models using artificial intelligence, deep learning techniques and other hybrid models to improve the performance of cloud. Various methods to enhance the directivity of cloud services have been presented which would enable cloud to provide better services, performance and quality of service to user. It talks about the next generation intelligent optimization and fault model to improve security and reliability of cloud. Key Features · Comprehensive introduction to cloud architecture and its service models. · Vulnerability and issues in cloud SAAS, PAAS and IAAS · Fundamental issues related to optimizing the performance in Cloud Computing using meta-heuristic, AI and ML models · Detailed study of optimization techniques, and fault management techniques in multi layered cloud. · Methods to improve reliability and fault in cloud using nature inspired algorithms and artificial neural network. · Advanced study of algorithms using artificial intelligence for optimization in cloud · Method for power efficient virtual machine placement using neural network in cloud · Method for task scheduling using metaheuristic algorithms. · A study of machine learning and deep learning inspired resource allocation algorithm for cloud in fault aware environment. This book aims to create a research interest & motivation for graduates degree or post-graduates. It aims to present a study on optimization algorithms in cloud for researchers to provide them with a glimpse of future of cloud computing in the era of artificial intelligence.

Download or read book Soft Computing Theories and Applications written by Kanad Ray and published by Springer. This book was released on 2018-08-30 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on soft computing and its applications to solve real-world problems occurring in different domains ranging from medicine and healthcare, and supply chain management to image processing and cryptanalysis. It includes high-quality papers presented in the International Conference on Soft Computing: Theories and Applications (SoCTA 2017), organized by Bundelkhand University, Jhansi, India. Offering significant insights into soft computing for teachers and researchers alike, the book inspires more researchers to work in the field of soft computing.

Download or read book Quantitative Approaches to Plant Breeding Concepts Strategies and Practical Applications written by Suchismita Mondal and published by Frontiers Media SA. This book was released on 2022-08-31 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems 3rd ICAUS 2023 written by Yi Qu and published by Springer Nature. This book was released on with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Biologist s Guide to Artificial Intelligence written by Ambreen Hamadani and published by Elsevier. This book was released on 2024-03-15 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future. This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms. Helps biologists succeed in understanding the concepts of Artificial Intelligence and machine learning Equips with new data mining strategies an easy interface into the world of Artificial Intelligence Enables researchers to enhance their own sphere of researching Artificial Intelligence

Download or read book Quantum Computing and Supply Chain Management A New Era of Optimization written by Hassan, Ahdi and published by IGI Global. This book was released on 2024-07-23 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today's supply chains are becoming more complex and interconnected. As a result, traditional optimization engines struggle to cope with the increasing demands for real-time order fulfillment and inventory management. With the expansion and diversification of supply chain networks, these engines require additional support to handle the growing complexity effectively. This poses a significant challenge for supply chain professionals who must find efficient and cost-effective solutions to streamline their operations and promptly meet customer demands. Quantum Computing and Supply Chain Management: A New Era of Optimization offers a transformative solution to these challenges. By harnessing the power of quantum computing, this book explores how supply chain planners can overcome the limitations of traditional optimization engines. Quantum computing's ability to process vast amounts of data from IoT sensors in real time can revolutionize inventory management, resource allocation, and logistics within the supply chain. It provides a theoretical framework and practical examples to illustrate how quantum algorithms can enhance transparency, optimize dynamic inventory allocation, and improve supply chain resilience.

Download or read book Pattern Recognition and Computer Vision written by Jian-Huang Lai and published by Springer. This book was released on 2018-11-02 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 11056, 110257, 11258, and 11073 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018. The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections: Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.

Download or read book Speech and Language Technologies for Low Resource Languages written by Bharathi Raja Chakravarthi and published by Springer Nature. This book was released on with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Innovations in Data Methodologies and Computational Algorithms for Medical Applications written by Gangopadhyay, Aryya and published by IGI Global. This book was released on 2012-03-31 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medicine has, until recently, been slow to adapt to information technologies and systems for many reasons, but the future lies therein.Innovations in Data Methodologies and Computational Algorithms for Medical Applications offers the most cutting-edge research in the field, offering insights into case studies and methodologies from around the world. The text details the latest developments and will serve as a vital resource to practitioners and academics alike in the burgeoning field of medical applications of technologies. As security and privacy improve, Electronic Health Records and informatics in the medical field are becoming ubiquitous, and staying abreast of the latest information can be difficult. This volume serves as a reference handbook and theoretical framework for the future of the field.

Download or read book Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices written by Gupta, Rajeev Kumar and published by IGI Global. This book was released on 2023-06-27 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are various factors that influence the quality and quantity of agricultural products; among them, weather conditions play the most significant role in agriculture. More reliable weather forecasting enables farmers to make important planting and harvesting decisions that can enhance agricultural yield. Thus, there is a dire need to combine all available modern technologies and agricultural science for economic and environmentally sustainable crop production. In this direction, artificial intelligence (AI) serves as a budding solution in the domain of agriculture practices. Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices discusses various tools and technologies that can be used in smart farming and agriculture practice and explores the role of different emerging technologies like the internet of things, big data, machine learning, deep learning, and AI from agricultural prospects. Covering key topics such as farming, pests, soil, and weeds, this premier reference source is ideal for environmentalists, farmers, agriculturalists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.