الصفحة 62
الصفحة 62
Algorithmic Learning in a Random World
This new monograph integrates mathematical theory and revealing experimental work. It demonstrates mathematically the validity of the reliability claimed by conformal predictors when they are applied to independent and identically distributed data, and it confirms experimentally that the accuracy is sufficient for many practical problems. Later chapters generalize these results to models called repetitive structures, which originate in the algorithmic theory of randomness and statistical physics. The approach is flexible enough to incorporate most existing methods of machine learning, including newer methods such as boosting and support vector machines and older methods such as nearest neighbors and the bootstrap.
Algorithmic Game Theory ; 1st International Symposium, SAGT 2008, Paderborn, Germany, April 30-May 2, 2008. Proceedings
This book constitutes the refereed proceedings of the First International Symposium on Algorithmic Game Theory, SAGT 2008, held in Paderborn, Germany, in April/May 2008.
Algorithmic Aspects of Wireless Sensor Networks ; 4th International Workshop, ALGOSENSORS 2008, Reykjavik, Iceland, July 2008. Revised Selected Papers
This book constitutes the reviewed proceedings of the Fourth International Workshop on Algorithmic Aspects of Wireless Sensor Networks, ALGOSENSORS 2008, held in Reykjavik, Iceland, Wroclaw, Poland, July 12, 2008.
Algorithmic Aspects of Wireless Sensor Networks ; 3rd International Workshop, ALGOSENSORS 2007, Wroclaw, Poland, July 14, 2007, Revised Selected Papers
This book contains the proceedings of the Third International Workshop on Algorithmic Aspects of Wireless Sensor Networks. Coverage includes abstract models, complexity-theoretic results, and the design and analysis of algorithms for wireless sensor networks.
Algorithmic Aspects of Bioinformatics
Advances in bioinformatics and systems biology require improved computational methods for analyzing data, while progress in molecular biology is in turn influencing the development of computer science methods. This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. This book describes topics in detail and presents formal models in a mathematically precise, yet intuitive manner, with many figures and chapter summaries, detailed derivations, and examples. It is well suited as an introduction into the field of bioinformatics, and will benefit students and lecturers in bioinformatics and algorithmics, while also offering practitioners an update on current research topics.
Algorithmic Aspects in Information and Management ; Second International Conference, AAIM 2006, Hong Kong, China, June 20-22, 2006, Proceedings
This book constitutes the refereed proceedings of the Second International Conference on Algorithmic Aspects in Information and Management, AAIM 2006, held in Hong Kong, June 2006. The book presents 34 revised full papers together with abstracts of 2 invited talks. The papers cover topics from areas such as online scheduling, game and finance, data structures and algorithms, computational geometry, optimization, graph, and string, and more.
Algorithmic Aspects in Information and Management ; 4th International Conference, AAIM 2008, Shanghai, China, June 23-25, 2008. Proceedings
This book constitutes the refereed proceedings of the 4th International Conference on Algorithmic Aspects in Information and Management, AAIM 2008, held in Shanghai, China, in June 2008.
Algorithmic Aspects in Information and Management ; 14th International Conference, AAIM 2020, Jinhua, China, August 10–12, 2020, Proceedings
This volume constitutes the proceedings of the 14th International Conference on Algorithmic Aspects in Information and Management, AAIM 2020, held in Jinhua, China in August 2020. The 39 full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers deal with emerging important algorithmic problems with a focus on the fundamental background, theoretical technology development, and real-world applications associated with information and management analysis, modeling and data mining. Special considerations are given to algorithmic research that was motivated by real-world applications.
Algorithmic applications in management ; 1st international conference, AAIM 2005, Xian, China, June 22-25, 2005, Proceedings
The papers in this volume were presented at the 1st International Conference onAlgorithmic Applications in Management (AAIM 2005), in China. The topics cover algorithmic applications in most management-related areas.including Programming Techniques Business Strategy/Leadership Theory of Computation Algorithm Analysis and Problem Complexity Data Structures Discrete Mathematics in Computer Science
Algorithm Theory - SWAT 2008 ; 11th Scandinavian Workshop on Algorithm Theory, Gothenburg, Sweden, July 2-4, 2008. Proceedings
his book constitutes the refereed proceedings of the 11th Scandinavian Workshop on Algorithm Theory, SWAT 2008, held in Gothenborg, Sweden, in July 2008.
Algorithm Theory - SWAT 2006 ; 10th Scandinavian Workshop on Algorithm Theory, Riga, Latvia, July 6-8, 2006, Proceedings
This book constitutes the refereed proceedings of the 10th Scandinavian Workshop on Algorithm Theory, SWAT 2006, held in Riga, Latvia, in July 2006. The proceedings includes 36 revised full papers presented together with 3 invited papers, addressing issues of theoretical algorithmics and applications in various fields including graph algorithms, computational geometry, scheduling, approximation algorithms, network algorithms, data storage and manipulation, combinatorics, sorting, searching, online algorithms, optimization, amd more.
Algebraic Aspects of the Advanced Encryption Standard
The Belgian block cipher Rijndael was chosen in 2000 by the U.S. government’s National Institute of Standards and Technology (NIST) to be the successor to the Data Encryption Standard. Rijndael was subsequently standardized as the Advanced Encryption Standard (AES), which is potentially the world’s most important block cipher. In 2002, some new analytical techniques were suggested that may have a dramatic effect on the security of the AES. Existing analytical techniques for block ciphers depend heavily on a statistical approach, whereas these new techniques are algebraic in nature.
AIU projects evaluation platform
The project is a cloud computing system constructed to provide the service of helping students run their practical projects and work together while keeping track of every change in it, and teachers running the projects online and evaluating them. The system provided help doing this mission in real-time dialogue without having any dependencies downloaded on the machine and running it over the internet. The development of the system used a full-stack web framework and a database processing technology. The system has accomplished such services as running the projects online. The tests of the system are running in good conditions. The use of this system will solve the problem of teacher’s project evaluation and running them online.
AIU asset management system (Assettracker)
Assets can be defined as something of value that can be converted into cash, as all institutions and companies own assets and the larger the size of the organization, the greater the need to manage its owned assets. Some companies have resorted to manually tracking their assets by making paper data, but later, with the continuation of this approach, it has been noted that these data are largely lacking in organization and create difficulties in searching and tracking the life cycle of each asset separately. Here comes the role of our project, which is a software project based on automating assets and converting them from traditional methods to digital methods with the aim of obtaining the maximum benefit from assets in the organization by avoiding wasting assets, and issuing detailed reports indicating the decision-making process, in addition to the ability to deal with operations Effectively maintain assets.
AI, data, and digitalization : First International Symposium, SAIDD 2023, Sogndal, Norway, May 9–10, 2023, Revised Selected Papers
Artificial Intelligence, Big Data and Digitalization allow us more than ever beforeto make use of the data our society and public and private sectors generate every day.Institutions around the world are increasingly turning to such methods and technologiesto help them solve complex problems, promote efficiency and improve performance anddecision-making.
AI in drug discovery
Constitutes the refereed proceedings of the First international workshop on ai in Drug Discovery, AIDD 2024, held as a part of the 33rd International Conference on Artificial Neural Networks, ICANN 2024, in Lugano, Switzerland, on September 19, 2024. These papers focus on various aspects of the rapidly evolving field of Artificial Intelligence (AI)-driven drug discovery in chemistry, including Big Data and advanced Machine Learning, eXplainable AI (XAI), Chemoinformatics, Use of deep learning to predict molecular properties, Modeling and prediction of chemical reaction data and Generative models.
AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
AI in banking : Practical applications and case studies
Delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. it provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, bayesian networks, edge computing, and more. this book stands as a rare and practical guide to AI projects in the banking industry.
AI home decorator
Presents the development of “DesignMate”, an innovative AI home decorator application designed to revolutionize interior design. With three main features powered by artificial intelligence, DesignMate simplifies and enhances the process of home decoration. The first feature leverages an Autoregressive transformer model trained on the extensive 3Dfront dataset to suggest room decor based on room layouts. The second feature employs Generative Adversarial Networks (GANs) to enhance the colors of specific room layouts. The third feature introduces an expert system that tailors decor options to user-entered conditions. DesignMate also introduces an integrated e-commerce platform dedicated to furniture, offering users a wide selection of high-quality items that perfectly complement their preferred room designs.
AI and IoT for smart city applications
Provides a valuable combination of relevant research works on developing smart city ecosystem from the artificial intelligence (AI) and Internet of things (IoT) perspective. The technical research works presented here are focused on a number of aspects of smart cities: smart mobility, smart living, smart environment, smart citizens, smart government, and smart waste management systems as well as related technologies and concepts. This edited book offers critical insight to the key underlying research themes within smart cities, highlighting the limitations of current developments and potential future directions.
