الصفحة 54
الصفحة 54
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Automated machine learning : Methods, systems, challenges

This book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself.

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Automated deduction – CADE-20 ; 20th International Conference on automated deduction, Tallinn, Estonia, July 22-27, 2005, Proceedings

This book constitutes the refereed proceedings of the 20th International Conference on Automated Deduction, CADE-20, held in Tallinn, Estonia, in July 2005. The 25 revised full papers and 5 system descriptions presented were carefully reviewed and selected from 78 submissions. All current aspects of automated deduction are addressed, ranging from theoretical and methodological issues to presentation and evaluation of theorem provers and logical reasoning systems.

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Automated deduction – CADE 28 ; 28th International Conference on automated deduction, Virtual Event, July 12–15, 2021, Proceedings

This book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021. The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions.

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Automata, languages and programming ; Vol. 4052 : 33rd International Colloquium, ICALP 2006, Venice, Italy, July 10-14, 2006, Proceedings, Part II

a series of annual conferences of the European Association for Theoretical Computer Science (EATCS) which frsttookplacein 1972.Thisyear,. ICALP 2006 consisted of four invited lectures and the contributed papers. This volume of the proceedings contains all contributed papers presented at the conference in Track A, together with the paper by the invited speaker Noga Alon , A companion volume contains all contributed papers presented inTrack Band TrackCtogetherwiththepapersbytheinvited speakers Cynthia Dwork (Microsoft Research, USA) and Prakash Panangaden (Mc Gill University, Canada). The programhad an additional invited lecture by Simon Peyton Jones (Microsoft Research, UK), which does not appear in the proceedings.

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Automata, languages and programming ; Vol. 4051 : 33rd International Colloquium, ICALP 2006, Venice, Italy, July 10-14, 2006, Proceedings, Part I

ICALP is a series of annual conferences of the European Association for Theoretical Computer Science (EATCS) which frsttookplacein1972 .Thisyear, ICALP 2006 consisted of four invited lectures and the contributed papers. This volume of the proceedings contains all contributed papers presented at the conference in Track A, together with the paper by the invited speaker Noga Alon (Tel Aviv University, Israel). A companion volume contains all contributed paper spresentedinTrackBandTrackCtogetherwiththepapersbytheinvited speakers Cynthia Dwork (Microsoft Research, USA) and Prakash Panangaden (Mc Gill University, Canada).

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Automata, languages and programming ; Vol. 3580 ; 32nd International Colloquim, ICALP 2005, Lisbon, Portugal, July 11-15, 2005, Proceedings

This book constitutes the refereed proceedings of 32nd International Colloquium on Automata, Languages and Programming ICALP 2005, Lisbon, Portugal, July 11-15, 2005. including Topics Computer Science, general Mathematical Logic and Foundations Theory of Computation Software Engineering/Programming and Operating Systems Data Structures and Information Theory Data Structures

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Automata, languages and programming ; 35th International Colloquium, ICALP 2008, Reykjavik, Iceland, July 7-11, 2008, Proceedings, Part II

The two-volume set LNCS 5125 and LNCS 5126 constitutes the refereed proceedings of the 35th International Colloquium on Automata, Languages and Programming, ICALP 2008, held in Reykjavik, Iceland, in July 2008.

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Automata, Languages and Programming ; 35th International Colloquium, ICALP 2008, Reykjavik, Iceland, July 7-11, 2008, Proceedings, Part I

The two-volume set LNCS 5125 and LNCS 5126 constitutes the refereed proceedings of the 35th International Colloquium on Automata, Languages and Programming, ICALP 2008, held in Reykjavik, Iceland, in July 2008.

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AutoCAD 2006 VBA : A programmer's reference

This book will help you take full advantage of the Visual Basic for Applications programming environment within AutoCAD 2006. Whether you want to automate routine tasks, or create sophisticated applications or design that can be generated programmatically, this book will empower you to make AutoCAD work for you. This book is also suitable if you're a power user who wants to make use of the advanced features of AutoCAD 2006 VBA, and you need a fast reference for the full AutoCAD object model. You'll learn to run Autodesk design tasks in the embedded VBA environment. This book is loaded with source code examples, and gives you no matter your skill level the necessary tools to accomplish your AutoCAD 2006 automation tasks.

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Austenitic TRIP/TWIP steels and steel-zirconia composites : Design of tough, transformation-strengthened composites and structures

This book presents a collection of the most up-to-date research results in the field of steel development with a focus on pioneering alloy concepts that result in previously unattainable materials properties.

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Assembly language for x86 processors ; 8th ed.

Focuses on its primary goal, to teach students how to write and debug programs at the machine level. It will never replace a complete book on computer architecture, but it does give students the first-hand experience of writing software in an environment that teaches them how a computer works. Our premise is that students retain knowledge better when theory is combined with experience. In an engineering course, students construct prototypes; in a computer architecture course, students should write machine-level programs.

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Assembly Language for x86 Processors ; 7th ed.

Focuses on its primary goal, to teach students how to write and debug programs at the machine level. It will never replace a complete book on computer architecture, but it does give students the first-hand experience of writing software in an environment that teaches them how a computer works. Our premise is that students retain knowledge better when theory is combined with experience. In an engineering course, students construct prototypes; in a computer architecture course, students should write machine-level programs.

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ASP.NET MVC Framework Preview

The ASP.NET MVC framework is the latest evolution of Microsoft's ASP.NET web platform. It introduces a radical high–productivity programming model, promotes cleaner code architecture, supports test–driven development, and provides powerful extensibility, combined with all the benefits of ASP.NET 3.5. ASP.NET MVC Framework Preview is a first look at this technology's main features, designed to give you a head start getting to grips with this powerful new technology.

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ASP.NET 1.1 Solutions Toolkit

This collection of reusable ASP.NET components serves two purposes. First, the components are ready to use, so you may add exciting features to your own ASP.NET websites. Second, each component's design and implementation is discussed, and you'll discover tips and tricks applicable for developing your own controls. Controls can be cut and pasted or used as templates for you to build your own controls. And the 15 included controls (programs) cover a broad range of situations, providing you both working coded solutions to your problem and the rationalization behind those solutions. Overall, this highly anticipated book provides immediate solutions to range of common problems.

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Artificial neural networks with Java : Tools for Building Neural Network Applications

Covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn how to prepare the data to be used in neural network development and you will be able to suggest various techniques of data preparation for many unconventional tasks. You will learn: Use Java for the development of neural network applications / Prepare data for many different tasks / Carry out some unusual neural network processing / Use a neural network to process non-continuous functions / Develop a program that recognizes handwritten digits

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Artificial neural networks : Recent advances, new perspectives and applications

This book explores the potential of ANNs for applications in different fields. Itincludes eight chapters that discuss deep learning, ANN tools, and other cutting-edgetechnologies. It also suggests avenues for further research into ANN techniques formedical imaging to detect breast tumors, classification of COVID-19 surveillancedatasets, health management, estimation of materials processing parameters, solarenergy management, and control of a petrochemical unit.

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Artificial neural networks – ICANN 2007 ; 17th International Conference, Porto, Portugal, September 9-13, 2007, Proceedings, Part I

This book contains learning theory, advances in neural network learning methods, ensemble learning, spiking neural networks, advances in neural network architectures neural network technologies, neural dynamics and complex systems, data analysis, estimation, spatial and spatio-temporal learning, evolutionary computing, meta learning, agents learning, complex-valued neural networks, as well as temporal synchronization and nonlinear dynamics in neural networks.

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Artificial intelligence-based Internet of things systems

Discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects. Addresses the complete functional framework workflow in AI-enabled IoT ecosystem; Presents intelligent object identification and object discovery through the IoT ecosystem and its implications to the real world ;Explores security and privacy issues and trustworthy machine learning related to data-intensive technologies in AI-based IoT ecosystems.

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Artificial Intelligence with Python

Introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.

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