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The Rule and the Model

The Rule and the Model PDF Author: Françoise Choay
Publisher: MIT Press (MA)
ISBN:
Category : Architecture
Languages : en
Pages : 528

Book Description
First published in France in 1980, this book was awarded the "Grand Prix de la Critique d'Architecture". It examines the author's hypothesis about the tradition of theorizing architecture and urbanism, demonstrating that this discourse has been organized by two formulations: the rule and the model.

The Rule and the Model

The Rule and the Model PDF Author: Françoise Choay
Publisher: MIT Press (MA)
ISBN:
Category : Architecture
Languages : en
Pages : 528

Book Description
First published in France in 1980, this book was awarded the "Grand Prix de la Critique d'Architecture". It examines the author's hypothesis about the tradition of theorizing architecture and urbanism, demonstrating that this discourse has been organized by two formulations: the rule and the model.

Model Rules of Professional Conduct

Model Rules of Professional Conduct PDF Author: American Bar Association. House of Delegates
Publisher: American Bar Association
ISBN: 9781590318737
Category : Law
Languages : en
Pages : 216

Book Description
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.

Interpretable Machine Learning

Interpretable Machine Learning PDF Author: Christoph Molnar
Publisher: Lulu.com
ISBN: 0244768528
Category : Computers
Languages : en
Pages : 320

Book Description
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

Evolving Rule-Based Models

Evolving Rule-Based Models PDF Author: Plamen P. Angelov
Publisher: Physica
ISBN: 3790817945
Category : Mathematics
Languages : en
Pages : 213

Book Description
The idea about this book has evolved during the process of its preparation as some of the results have been achieved in parallel with its writing. One reason for this is that in this area of research results are very quickly updated. Another is, possibly, that a strong, unchallenged theoretical basis in this field still does not fully exist. From other hand, the rate of innovation, competition and demand from different branches of industry (from biotech industry to civil and building engineering, from market forecasting to civil aviation, from robotics to emerging e-commerce) is increasingly pressing for more customised solutions based on learning consumers behaviour. A highly interdisciplinary and rapidly innovating field is forming which focus is the design of intelligent, self-adapting systems and machines. It is on the crossroads of control theory, artificial and computational intelligence, different engineering disciplines borrowing heavily from the biology and life sciences. It is often called intelligent control, soft computing or intelligent technology. Some other branches have appeared recently like intelligent agents (which migrated from robotics to different engineering fields), data fusion, knowledge extraction etc., which are inherently related to this field. The core is the attempts to enhance the abilities of the classical control theory in order to have more adequate, flexible, and adaptive models and control algorithms.

Rules of Play

Rules of Play PDF Author: Katie Salen Tekinbas
Publisher: MIT Press
ISBN: 9780262240451
Category : Computers
Languages : en
Pages : 680

Book Description
An impassioned look at games and game design that offers the most ambitious framework for understanding them to date. As pop culture, games are as important as film or television—but game design has yet to develop a theoretical framework or critical vocabulary. In Rules of Play Katie Salen and Eric Zimmerman present a much-needed primer for this emerging field. They offer a unified model for looking at all kinds of games, from board games and sports to computer and video games. As active participants in game culture, the authors have written Rules of Play as a catalyst for innovation, filled with new concepts, strategies, and methodologies for creating and understanding games. Building an aesthetics of interactive systems, Salen and Zimmerman define core concepts like "play," "design," and "interactivity." They look at games through a series of eighteen "game design schemas," or conceptual frameworks, including games as systems of emergence and information, as contexts for social play, as a storytelling medium, and as sites of cultural resistance. Written for game scholars, game developers, and interactive designers, Rules of Play is a textbook, reference book, and theoretical guide. It is the first comprehensive attempt to establish a solid theoretical framework for the emerging discipline of game design.

Golden Rule

Golden Rule PDF Author: Thomas Ferguson
Publisher: University of Chicago Press
ISBN: 022616201X
Category : Political Science
Languages : en
Pages : 439

Book Description
"To discover who rules, follow the gold." This is the argument of Golden Rule, a provocative, pungent history of modern American politics. Although the role big money plays in defining political outcomes has long been obvious to ordinary Americans, most pundits and scholars have virtually dismissed this assumption. Even in light of skyrocketing campaign costs, the belief that major financial interests primarily determine who parties nominate and where they stand on the issues—that, in effect, Democrats and Republicans are merely the left and right wings of the "Property Party"—has been ignored by most political scientists. Offering evidence ranging from the nineteenth century to the 1994 mid-term elections, Golden Rule shows that voters are "right on the money." Thomas Ferguson breaks completely with traditional voter centered accounts of party politics. In its place he outlines an "investment approach," in which powerful investors, not unorganized voters, dominate campaigns and elections. Because businesses "invest" in political parties and their candidates, changes in industrial structures—between large firms and sectors—can alter the agenda of party politics and the shape of public policy. Golden Rule presents revised versions of widely read essays in which Ferguson advanced and tested his theory, including his seminal study of the role played by capital intensive multinationals and international financiers in the New Deal. The chapter "Studies in Money Driven Politics" brings this aspect of American politics into better focus, along with other studies of Federal Reserve policy making and campaign finance in the 1936 election. Ferguson analyzes how a changing world economy and other social developments broke up the New Deal system in our own time, through careful studies of the 1988 and 1992 elections. The essay on 1992 contains an extended analysis of the emergence of the Clinton coalition and Ross Perot's dramatic independent insurgency. A postscript on the 1994 elections demonstrates the controlling impact of money on several key campaigns. This controversial work by a theorist of money and politics in the U.S. relates to issues in campaign finance reform, PACs, policymaking, public financing, and how today's elections work.

The Rule of Law History, Theory and Criticism

The Rule of Law History, Theory and Criticism PDF Author: Pietro Costa
Publisher: Springer Science & Business Media
ISBN: 1402057458
Category : Law
Languages : en
Pages : 699

Book Description
Authors Costa and Zolo share the conviction that a proper understanding of the rule of law today requires reference to a global problematic horizon. This book offers some relevant guides for orienting the reader through a political and legal debate where the rule of law (and the doctrine of human rights) is a concept both controversial and significant at the national and international levels.

Annotated Model Rules of Professional Conduct

Annotated Model Rules of Professional Conduct PDF Author: Ellen J. Bennett
Publisher:
ISBN: 9781641054300
Category : Legal ethics
Languages : en
Pages : 821

Book Description
"The eighth edition of the Annotated Model Rules of Professional Conduct presents an authoritative and practical analysis of the lawyer ethics rules and the cases, ethics opinions, and other legal authorities essential to understanding them. The Model Rules of Professional Conduct were adopted by the ABA in 1983 and have been amended numerous times since. This new edition of the Annotated Model Rules of Professional Conduct represents a major refinement of previous editions. It takes into account all amendments through February 2013, as well as the American Law Institute's Restatement (Third) of the Law Governing Lawyers (2000)"--Acknowledgments.

Street Data

Street Data PDF Author: Shane Safir
Publisher: Corwin
ISBN: 1071812661
Category : Education
Languages : en
Pages : 281

Book Description
Radically reimagine our ways of being, learning, and doing Education can be transformed if we eradicate our fixation on big data like standardized test scores as the supreme measure of equity and learning. Instead of the focus being on "fixing" and "filling" academic gaps, we must envision and rebuild the system from the student up—with classrooms, schools and systems built around students’ brilliance, cultural wealth, and intellectual potential. Street data reminds us that what is measurable is not the same as what is valuable and that data can be humanizing, liberatory and healing. By breaking down street data fundamentals: what it is, how to gather it, and how it can complement other forms of data to guide a school or district’s equity journey, Safir and Dugan offer an actionable framework for school transformation. Written for educators and policymakers, this book · Offers fresh ideas and innovative tools to apply immediately · Provides an asset-based model to help educators look for what’s right in our students and communities instead of seeking what’s wrong · Explores a different application of data, from its capacity to help us diagnose root causes of inequity, to its potential to transform learning, and its power to reshape adult culture Now is the time to take an antiracist stance, interrogate our assumptions about knowledge, measurement, and what really matters when it comes to educating young people.

Bayes Rules!

Bayes Rules! PDF Author: Alicia A. Johnson
Publisher: CRC Press
ISBN: 1000529568
Category : Mathematics
Languages : en
Pages : 606

Book Description
Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The examples are modern, and even many frequentist intro books ignore important topics (like the great p-value debate) that the authors address. The focus on simulation for understanding is excellent.” Amy Herring, Duke University “I sincerely believe that a generation of students will cite this book as inspiration for their use of – and love for – Bayesian statistics. The narrative holds the reader’s attention and flows naturally – almost conversationally. Put simply, this is perhaps the most engaging introductory statistics textbook I have ever read. [It] is a natural choice for an introductory undergraduate course in applied Bayesian statistics." Yue Jiang, Duke University “This is by far the best book I’ve seen on how to (and how to teach students to) do Bayesian modeling and understand the underlying mathematics and computation. The authors build intuition and scaffold ideas expertly, using interesting real case studies, insightful graphics, and clear explanations. The scope of this book is vast – from basic building blocks to hierarchical modeling, but the authors’ thoughtful organization allows the reader to navigate this journey smoothly. And impressively, by the end of the book, one can run sophisticated Bayesian models and actually understand the whys, whats, and hows.” Paul Roback, St. Olaf College “The authors provide a compelling, integrated, accessible, and non-religious introduction to statistical modeling using a Bayesian approach. They outline a principled approach that features computational implementations and model assessment with ethical implications interwoven throughout. Students and instructors will find the conceptual and computational exercises to be fresh and engaging.” Nicholas Horton, Amherst College An engaging, sophisticated, and fun introduction to the field of Bayesian statistics, Bayes Rules!: An Introduction to Applied Bayesian Modeling brings the power of modern Bayesian thinking, modeling, and computing to a broad audience. In particular, the book is an ideal resource for advanced undergraduate statistics students and practitioners with comparable experience. Bayes Rules! empowers readers to weave Bayesian approaches into their everyday practice. Discussions and applications are data driven. A natural progression from fundamental to multivariable, hierarchical models emphasizes a practical and generalizable model building process. The evaluation of these Bayesian models reflects the fact that a data analysis does not exist in a vacuum. Features • Utilizes data-driven examples and exercises. • Emphasizes the iterative model building and evaluation process. • Surveys an interconnected range of multivariable regression and classification models. • Presents fundamental Markov chain Monte Carlo simulation. • Integrates R code, including RStan modeling tools and the bayesrules package. • Encourages readers to tap into their intuition and learn by doing. • Provides a friendly and inclusive introduction to technical Bayesian concepts. • Supports Bayesian applications with foundational Bayesian theory.