الصفحة 39
الصفحة 39
Bio-inspired computational intelligence and applications ; International conference on life system modeling, and simulation, LSMS 2007, Shanghai, China, September 14-17, 2007. Proceedings
It covers both micro and macro c- ponents ranging from cells, tissues and organs across to organisms and ecologic niches. These interact and evolve to produce an overall complex system whose beh- ior is difficult to comprehend and predict.The arrival of the 21st century has been marked by a resurgence of research interest both in arriving at a systems-level und- standing of biology and in applying such knowledge in complex real-world appli- tions. Consequently, computational methods and intelligence in systems, biology, as well as bio-inspired computational intelligence, have emerged as key drivers for new computational methods. For this reason papers dealing with theory, techniques and real-world applications relating to these two themes were especially solicited.
Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
Binomial models in finance
This book deals with many topics in modern financial mathematics in a way that does not use advanced mathematical tools and shows how these models can be numerically implemented in a practical way. The book is aimed at undergraduate students, MBA students, and executives who wish to understand and apply financial models in the spreadsheet computing environment.The basic building block is the one-step binomial model where a known price today can take one of two possible values at the next time. In this simple situation, risk neutral pricing can be defined and the model can be applied to price forward contracts, exchange rate contracts, and interest rate derivatives.
Big Data : A Road Map for Successful Digital Marketing
Explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management.
Beyond bending : Reimagining compression shells
The examination of old construction principles in combination with the development of new digital graphic construction methods leads to unusual ways in the design of self-supporting structures. Based on its Armadillo Vault, which was awarded at the Venice Biennale 2016, the Block Research Group of ETH Zurich describes development processes and visions of resource-saving, refined load-bearing structures without steel. The intensive examination of principles is fundamental.
Beginning Visual Web Developer 2005 Express : From novice to professional
The primary goal of this book is to demonstrate Visual Web Developer 2005 Expresss effectiveness when developing applications. The secondary goal is to examine how coding best-practices can be applied with this new product. Beginning Visual Web Developer 2005 Express provides a rigorous overview of the application: how it operates, how it compares to the other versions of Visual Studio .NET 2005 now available, and the best way to use it.
Beginning PHP and MySQL E-Commerce : From novice to professional
Beginning PHP and MySQL E-Commerce: From Novice to Professional, Second Edition covers every step of the design and building process involved in creating powerful, extendable e–commerce web sites. Based around a real–world example involving a web site selling t–shirts, you'll learn how to create and manage a product catalog, build and integrate a shopping cart, and process customer accounts and PayPal/credit card transactions. With the e–commerce framework in place, authors Emilian Balanescu and Cristian Darie show you how to integrate advanced features sure to set your web site apart from the competition. You'll learn how to expand your catalog using Amazon Web Services, optimize the web site for the search engines, and take advantage of Ajax to build an even more user–friendly shopping cart.
Beginning Joomla! : From novice to professional
Beginning Joomla! answers many of the questions you're sure to have, guiding you through the process of creating your own design templates, adding and managing content, and adding popular community features such as article commenting, user profile management, and forums.
Beginning Excel What-If Data Analysis tools : Getting started with goal seek, data tables, scenarios, and solver
Excels what-if data analysis tools let you experiment with your data to project future results. In turn, these predictions will lead to better decision making and unlock the mystery of many business analysis scenarios. For example, what-if data analysis tools will enable you to forecast how lowering the price per unitwhile increasing projected unit salesmight affect your profit margins. Beginning Excel What-If Data Analysis Tools explores the use of Goal Seek, Data Tables, Scenarios, and Solver to help you get insight on your data. This book is focused and to the point, and it provides tutorial treatment of what-if tools in a practical, hands-on manner.
Beginning ASP.NET 2.0 Databases : From novice to professional
Beginning ASP.NET 2.0 Databases: From Novice to Professional is a comprehensive introduction to connecting a website to many different data sourcesnot just databases. You'll learn how to build a relational database, use SQL to communicate with it, and leverage both in your web applications. You'll also learn about the new features of ADO.NET and ASP.NET in .NET 2.0. The authors cover mission-critical issues, such as design, transactions, error handling, optimization, and scalability. They examine SQL Server, Jet, and MySQL databases, and highlight the differences among them.
Bayesian computation with R : Introduces Bayesian modeling by use of computation using the R language
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for many statisticians in education and industry. Bayesian Computation with R introduces Bayesian modeling by the use of computation using the R language.
Average-Cost Control of Stochastic Manufacturing Systems
This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales.
Autonomy oriented computing : From problem solving to complex systems modeling
Autonomy Oriented Computing explores the important theoretical and practical issues in AOC, by analyzing methodologies and presenting experimental case studies. The book serves as a comprehensive reference source for researchers, scientists, engineers, and professionals in all fields concerned with this promising new development in computer science. It can also be used as a main or supplementary text in graduate and undergraduate programs across a broad range of computer-related disciplines, including Robotics and Automation, Amorphous Computing, Image Processing and Computer Vision, Programming Paradigms, Computational Biology, and many others. The first part of the book, Fundamentals, describes the basic concepts and characteristics of an AOC system, and then it enumerates the critical design and engineering issues faced in AOC system development. The second part of the book, AOC in Depth, provides a detailed analysis of methodologies and case studies to evaluate the use of AOC in problem solving and complex system modeling. The final chapter reviews the essential features of the AOC paradigm and outlines a number of possibilities for future research and development.
Autonomous Systems - Self-Organization, Management, and Contro ; Proceedings of the 8th International Workshop held at Shanghai Jiao Tong University, Shanghai, China, October 6–7, 2008
The International Workshop on "Autonomous Systems - Self-Organization, Management, and Control " is the eighth in a successful series of workshops that were established by Shanghai Jiao Tong University and Technische Universitat Berlin. The goal of these workshops is to bring together researchers from both universities in order to present research results to an international community.
Autonomic principles of IP operations and management ; 6th IEEE International Workshop on IP Operations and Management, IPOM 2006, Dublin, Ireland, October 23-25, 2006, Proceedings
th This volume presents the proceedings of the 6 IEEE International Workshop on IP Operations and Management (IPOM 2006), which was held as part of Manweek 2006 rd th in Dublin, Ireland from October 23 to 25 , 2006. In line with its reputation as one ofthe pre-eminent venues for the discussion and debate of advances of management of IP networks and services, the 2006 iteration of IPOM brought together an international audience of researchers and practitioners from both industry and academia. The overall theme of Manweek 2006 was “Autonomic Component and System Management”,with IPOM taking this to be the application of autonomic principles to the IP operations, administration, maintenance and provisioning.
Autonomic and Trusted Computing ; 4th International Conference, ATC 2007, Hong Kong, China, July 11-13, 2007, Proceedings
To cope with the growing and ubiquitous complexity, autonomic computing (AC) focuses on se- manageable computing and communication systems that exhibit self-awareness, self-configuration, self-optimization, self-healing, self-protection and other self-x operations to the maximum extenteven without human interventionor guidance. Organiccomputing(OC)additionally emphasizes natural-analogueconceptslike self-organization and controlled emergence. Any autonomic ororganic system must be trus tworthy to avoid the risk of l- ing control and to retain confidence that the system will not fail. Trust and/or distrust relationships on the Internet and in pervasive infrastructures are key factors to enable dynamic interaction and cooperation of various users, systems and services. Trusted/trustworthy computing (TC) aims at making computing and communication systems as well as services available, predictable, traceable, controllable, assessable, sustainable, dependable, persist-able, security/privacy protect-able, etc.
Automotive Control Systems : For Engine, Driveline, and Vehicle
Reflecting the trend to optimization through integrative approaches for engine, driveline and vehicle control, this book enables control engineers to understand engine and vehicle models necessary for controller design and also introduces mechanical engineers to vehicle-specific signal processing and automatic control. The emphasis on measurement, comparisons between performance and modelling, and realistic examples derive from the authors’ industrial experience at Bosch and interactions within IFAC and SAE. The second edition offers new or expanded topics such as diesel-engine modelling, diagnosis and anti-jerking control, and vehicle modelling and parameter estimation. The book addresses professional engineers as well as students.
Automatic speech recognition on mobile devices and over communication networks
This book brings together leading academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks.
Automatic Differentiation : Applications, Theory, and Implementations
This collection covers the state of the art in automatic differentiation theory and practice. Practitioners and students will learn about advances in automatic differentiation techniques and strategies for the implementation of robust and powerful tools. Computational scientists and engineers will benefit from the discussion of applications, which provide insight into effective strategies for using automatic differentiation for design optimization, sensitivity analysis, and uncertainty quantification.
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.
