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Exceptional Lifespans
How long can humans live? This open access book documents, verifies and brings to life the advance of the frontier of human survival. It carefully validates data on supercentenarians, aged 110+, and semi-supercentenarians, aged 105-109, stored in the International Database on Longevity (IDL).
Excel PivotTables Recipe Book : A Problem-Solution Approach
Excel Pivot Tables Recipe Book: A Problem-Solution Approach is for anyone who uses Excel frequently. This book follows a problem-solution format that covers the entire breadth of situations you might encounter when working with PivotTables—from planning and creating, to formatting and extracting data, to maximizing performance and troubleshooting. The author presents tips and techniques in this collection of recipes that cannot be found in Excel's Help section, and she carefully explains the most confusing features of PivotTables.
Excel 2007 PivotTables Recipes : A Problem-Solution Approach
You'll find this book when facing any new or difficult problem in PivotTables, covering the entire breadth of situations you could ever encounter, from planning and creating, to formatting and extracting data, to maximizing performance and troubleshooting.
E-Voting and Identity ; 1st International Conference, VOTE-ID 2007, Bochum, Germany, October 4-5, 2007, Revised Selected Papers
Voting and identity have a very delicate relationship. Only a few processes - pendso much on an identity management respecting the fine line between reliable identification and reliable non-identifiability each at its part during the process. And only a few processes may change their outer appearance so much with the advent of new IT as voting and identity management do. So it was no surprise in FIDIS, the interdisciplinary Network of Excellence working on the Future of Identity in the Information Society
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolutionary Synthesis of Pattern Recognition Systems
Evolutionary Synthesis of Pattern Recognition Systems presents novel effective approaches based on evolutionary computational techniques, such as genetic programming (GP), linear genetic programming (LGP), coevolutionary genetic programming (CGP) and genetic algorithms (GA) to automate the synthesis and analysis of object detection and recognition systems. The book’s concepts, principles, and methodologies will enable readers to automatically build robust and flexible systems—in a systematic manner—that can provide human-competitive performance and reduce the cost of designing and maintaining these systems. Its content covers all key aspects of object recognition: object detection, feature selection, feature discovery, object recognition, domain knowledge. Basic knowledge of programming and data structures, and some calculus, is presupposed.ing the book’s novel ideas
Evolutionary Multiobjective Optimization : Theoretical Advances and Applications
Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.
Evolutionary Genomics : Statistical and Computational Methods
This book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results.
Evolutionary computation, machine learning and data mining in bioinformatics ; 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specifc infortioninagivendatasetinorderto generate new in teresting knowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to ofer the feld of bioinformatics.
Evolutionary computation, machine learning and data mining in bioinformatics ; 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings
This book Covers brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
Evolutionary Computation in Dynamic and Uncertain Environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.
Evolutionary Computation in Data Mining
This carefully edited book reflects and advances the state of the art in the area of Data Mining and Knowledge Discovery with Evolutionary Algorithms. It emphasizes the utility of different evolutionary computing tools to various facets of knowledge discovery from databases, ranging from theoretical analysis to real-life applications. "Evolutionary Computation in Data Mining" provides a balanced mixture of theory, algorithms and applications in a cohesive manner, and demonstrates how the different tools of evolutionary computation can be used for solving real-life problems in data mining and bioinformatics.
Evolutionary cell biology : The origins of cellular architecture
Establishes the foundations of the emerging field of evolutionary cell biology. Includes a wide range of comparative data and examples from both prokaryotes and eukaryotes, integrating such observations with biophysical/biochemical principles and evolutionary theory. Provides a deep and broad coverage of the literature, with many ideas synthesised and presented for the first time
Evolution of Teaching and Learning Paradigms in Intelligent Environment
This book is a fascinating window on the evolution of teaching and learning paradigms in intelligent environments. The three Australian authors include a number of chapters on issues of real relevance to today's teaching practice, including an introduction to the evolution of teaching and learning paradigms
Evidence-based school development in changing demographic contexts
This book features a school development model (Arizona Initiative for Leadership Development and Research – AZiLDR) that offers a roadmap for schools to navigate the complexities of continuous school development. Filled with processes that balance evidence-based values with democratic, culturally responsive values, this book offers strategies to mediate the tensions and to address school culture, context and values, leadership capacity, using data as a source of reflection, curricular and pedagogical activity, and strengths-based approaches to meeting the needs of culturally diverse students.
Evidence-Based Management : How to Use Evidence to Make Better Organizational Decisions
Evidence-based management has evolved with the goal of improving the quality of decision-making by using critically evaluated evidence from multiple sources - organizational data, professional expertise, stakeholder values and scientific literature. This book sets out and explains the specific skills needed to gather, understand and use evidence to make better-informed organizational decisions.
Evidence and Expertise in Nordic Education Policy : A Comparative Network Analysis
This book explores how policy makers draw on national, regional and international expertise in issuing school reform within five Nordic countries. In an era of international comparison, policy makers are expected to review best practices, learn from experiences from elsewhere, and apply international standards propelled by international organizations. The chapters draw methodologically on bibliometric data, network analysis, document analysis and expert interviews.
Evaluation of text summaries based on linear optimization of content metrics
Covers both theoretical contributions and practical applications in security system design by applying the Internet of Things (IoT) and CI. It further explains the application of IoT in the design of modern security systems and how IoT blended with computational intel- ligence can make any security system improved and realizable. Key features: Focuses on the computational intelligence techniques of security system design Covers applications and algorithms of discussed computational intelligence techniques Includes convergence-based and enterprise integrated security systems with their applications Explains emerging laws, policies, and tools affecting the landscape of cyber security Discusses application of sensors toward the design of security systems This book will be useful for graduate students and researchers in electrical, computer engineering, security system design and engineering
Evaluation of Text and Speech Systems
Provides an overview of the state-of-the-art and best practice in several sub-fields of evaluation of text and speech systems and components. The evaluation aspects covered include speech and speaker recognition, speech synthesis, animated talking agents, part-of-speech tagging, parsing, and natural language software like machine translation, information retrieval, question answering, spoken dialogue systems, data resources, and annotation schemes. With its broad coverage and original contributions this book is unique in the field of evaluation of speech and language technology.
Evaluating the organizational impact of health care information systems
Evaluating the Organizational Impact of Health Care Information Systems, Second Edition, is heavily updated and revised from its First Edition, which is entitled Evaluating Health Care Information Systems: Methods and Applications. The much-needed Second Edition is a guide for evaluating the organizational impacts of computer systems in health care institutions. It provides a practical guide for determining the appropriate questions to ask based on underlying models of change and the most effective methods available. An introduction to various methods is provided, as well as appendices containing survey instruments usable in research and evaluation, computer programs for data analyses, and other evaluation resources. The book provides a critical overview of current research and evaluation to date with numerous bibliographic references from health care and other fields. The methods and instruments described are applicable to a wide variety of other organizations that utilize information technology and they emphasize the importance of clearly specifying the purpose of the evaluation, recognizing assumptions about organizational change and using a multi-method approach to system evaluation. The material presented is drawn from a variety of social and health science disciplines in order to integrate the study of information system with social science theory and methods. Chapter highlights include Cognitive Approaches to Evaluation, Computer Simulation as an Evaluation Tool, and Research and Evaluation: Future Directions.
