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| Author | : Sharon Zinke |
| Publisher | : Teaching Resources |
| Total Pages | : 0 |
| Release | : 2013 |
| Genre | : Reading |
| ISBN | : 9780545382632 |
Supports and encourages students with intuitive, easy-to-grasp onset rime decoding strategies that enable them to immediately solve and recognize words.
| Author | : Robin Fogarty |
| Publisher | : |
| Total Pages | : 248 |
| Release | : 2020 |
| Genre | : Language arts |
| ISBN | : 9781951075132 |
"For decades, the education system has poured time, money, and effort into helping young students learn to read well, but nearly every attempt at reforming literacy among the youth has failed. So instead of reforming, why not reframe? Literacy Reframed seeks to reframe literacy in the education system by removing the current obsession with examinations and skill work. Instead, authors Robin J. Fogarty, Gene M. Kerns, and Brian M. Pete introduce the three pillars of literacy: phonics, vocabulary, and knowledge, which serve to create a reading environment built on students' continual acquisition of knowledge and need to learn. By reading The Big Three, educators will learn how to create literacy-reframed classrooms, where students are consumed by the sound of reading, engrossed by the words on the page, and thirsting to learn more about anything and everything"--
| Author | : Sandra Gonzalez-Bailon |
| Publisher | : MIT Press |
| Total Pages | : 257 |
| Release | : 2017-12-22 |
| Genre | : Social Science |
| ISBN | : 0262343460 |
How data science and the analysis of networks help us solve the puzzle of unintended consequences. Social life is full of paradoxes. Our intentional actions often trigger outcomes that we did not intend or even envision. How do we explain those unintended effects and what can we do to regulate them? In Decoding the Social World, Sandra González-Bailón explains how data science and digital traces help us solve the puzzle of unintended consequences—offering the solution to a social paradox that has intrigued thinkers for centuries. Communication has always been the force that makes a collection of people more than the sum of individuals, but only now can we explain why: digital technologies have made it possible to parse the information we generate by being social in new, imaginative ways. And yet we must look at that data, González-Bailón argues, through the lens of theories that capture the nature of social life. The technologies we use, in the end, are also a manifestation of the social world we inhabit. González-Bailón discusses how the unpredictability of social life relates to communication networks, social influence, and the unintended effects that derive from individual decisions. She describes how communication generates social dynamics in aggregate (leading to episodes of “collective effervescence”) and discusses the mechanisms that underlie large-scale diffusion, when information and behavior spread “like wildfire.” She applies the theory of networks to illuminate why collective outcomes can differ drastically even when they arise from the same individual actions. By opening the black box of unintended effects, González-Bailón identifies strategies for social intervention and discusses the policy implications—and how data science and evidence-based research embolden critical thinking in a world that is constantly changing.
| Author | : El-Ghazali Talbi |
| Publisher | : John Wiley & Sons |
| Total Pages | : 625 |
| Release | : 2009-05-27 |
| Genre | : Computers |
| ISBN | : 0470496908 |
A unified view of metaheuristics This book provides a complete background on metaheuristics and shows readers how to design and implement efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to implement the algorithms under a software framework to reuse both the design and code. Throughout the book, the key search components of metaheuristics are considered as a toolbox for: Designing efficient metaheuristics (e.g. local search, tabu search, simulated annealing, evolutionary algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing metaheuristics on sequential and parallel machines Using many case studies and treating design and implementation independently, this book gives readers the skills necessary to solve large-scale optimization problems quickly and efficiently. It is a valuable reference for practicing engineers and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations research, control, engineering, business and management, and applied mathematics.
| Author | : Jonathan Hassall |
| Publisher | : |
| Total Pages | : |
| Release | : 2021-11-27 |
| Genre | : |
| ISBN | : 9780645332711 |
This book offers an explanation of procrastination in the context of ADHD. Procrastination happens when we know we should do something for our benefit but actively avoid or delay doing it. At that moment, the focus is on not doing something rather than figuring out what is getting in the way. It can result in failed studies, lost jobs, broken relationships, missed opportunities, and a belief in inevitable failure.By creating a model for what happens when we act to support our intentions, we are able to decode and address procrastination-and, even better, to understand how to avoid it. We call this model the CIMAA Code. CIMAA is an acronym for the five stages of task achievement in our model: connect, imagine, motivate, act, and achieve. This book examines procrastination and ADHD and how they are linked. We then review executive function to better understand ADHD. Organization as a tool of support is presented as we look to manage deficits in executive functioning. We present the CIMAA Code stage by stage, to model successful task achievement from commitment through to completion. Some examples are given of this model in action, and a workbook is included to support the use of the CIMAA Code with day-to-day tasks. Finally, we look more broadly at how these skills can be applied across your life, beyond individual tasks and achievement.
| Author | : Atta Badii |
| Publisher | : Firenze University Press |
| Total Pages | : 284 |
| Release | : 2006 |
| Genre | : Computers |
| ISBN | : 8884535263 |
| Author | : Teofilo F. Gonzalez |
| Publisher | : CRC Press |
| Total Pages | : 840 |
| Release | : 2018-05-15 |
| Genre | : Computers |
| ISBN | : 1351236407 |
Handbook of Approximation Algorithms and Metaheuristics, Second Edition reflects the tremendous growth in the field, over the past two decades. Through contributions from leading experts, this handbook provides a comprehensive introduction to the underlying theory and methodologies, as well as the various applications of approximation algorithms and metaheuristics. Volume 1 of this two-volume set deals primarily with methodologies and traditional applications. It includes restriction, relaxation, local ratio, approximation schemes, randomization, tabu search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization, reoptimization, sensitivity analysis, and stability. Traditional applications covered include: bin packing, multi-dimensional packing, Steiner trees, traveling salesperson, scheduling, and related problems. Volume 2 focuses on the contemporary and emerging applications of methodologies to problems in combinatorial optimization, computational geometry and graphs problems, as well as in large-scale and emerging application areas. It includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams, virtual communities, and more. About the Editor Teofilo F. Gonzalez is a professor emeritus of computer science at the University of California, Santa Barbara. He completed his Ph.D. in 1975 from the University of Minnesota. He taught at the University of Oklahoma, the Pennsylvania State University, and the University of Texas at Dallas, before joining the UCSB computer science faculty in 1984. He spent sabbatical leaves at the Monterrey Institute of Technology and Higher Education and Utrecht University. He is known for his highly cited pioneering research in the hardness of approximation; for his sublinear and best possible approximation algorithm for k-tMM clustering; for introducing the open-shop scheduling problem as well as algorithms for its solution that have found applications in numerous research areas; as well as for his research on problems in the areas of job scheduling, graph algorithms, computational geometry, message communication, wire routing, etc.
| Author | : Masatoshi Sakawa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 294 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 146151519X |
Since the introduction of genetic algorithms in the 1970s, an enormous number of articles together with several significant monographs and books have been published on this methodology. As a result, genetic algorithms have made a major contribution to optimization, adaptation, and learning in a wide variety of unexpected fields. Over the years, many excellent books in genetic algorithm optimization have been published; however, they focus mainly on single-objective discrete or other hard optimization problems under certainty. There appears to be no book that is designed to present genetic algorithms for solving not only single-objective but also fuzzy and multiobjective optimization problems in a unified way. Genetic Algorithms And Fuzzy Multiobjective Optimization introduces the latest advances in the field of genetic algorithm optimization for 0-1 programming, integer programming, nonconvex programming, and job-shop scheduling problems under multiobjectiveness and fuzziness. In addition, the book treats a wide range of actual real world applications. The theoretical material and applications place special stress on interactive decision-making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The intended readers of this book are senior undergraduate students, graduate students, researchers, and practitioners in the fields of operations research, computer science, industrial engineering, management science, systems engineering, and other engineering disciplines that deal with the subjects of multiobjective programming for discrete or other hard optimization problems under fuzziness. Real world research applications are used throughout the book to illustrate the presentation. These applications are drawn from complex problems. Examples include flexible scheduling in a machine center, operation planning of district heating and cooling plants, and coal purchase planning in an actual electric power plant.
| Author | : Eric Medvet |
| Publisher | : Springer Nature |
| Total Pages | : 317 |
| Release | : 2022-04-19 |
| Genre | : Computers |
| ISBN | : 3031020561 |
This book constitutes the refereed proceedings of the 25th European Conference on Genetic Programming, EuroGP 2022, held as part of Evo*2021, as Virtual Event, in April 2022, co-located with the Evo*2022 events, EvoCOP, EvoMUSART, and EvoApplications. The 12 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 35 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new operators for variants of GP algorithms, as well as exploring GP applications to the optimization of machine learning methods and the evolution of complex combinational logic circuits.
| Author | : Sara A. Solla |
| Publisher | : MIT Press |
| Total Pages | : 1124 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 9780262194501 |
The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to be a showcase conference for new developments in network algorithms and architectures. The broad range of interdisciplinary research areas represented includes computer science, neuroscience, statistics, physics, cognitive science, and many branches of engineering, including signal processing and control theory. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented.
