Handbook of Sociological Theory

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Handbook of Sociological Theory

Handbook of Sociological Theory by Jonathan H. Turner
English | PDF | 2001 | 731 Pages | ISBN : 030646554X | 53.5 MB

Sociology is experiencing what can only be described as hyperdifferentiation of theories - there are now many approaches competing for attention in the intellectual arena . From this perspective, we should see a weeding out of theories to a small number, but this is not likely to occur because each of the many theoretical perspectives has a resource base of adherents. As a result, theories in sociology do not compete head on with each other as much as they coexist.

Statistical Learning from a Regression Perspective

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Statistical Learning from a Regression Perspective

Statistical Learning from a Regression Perspective by Richard A. Berk
English | PDF(True) | 2016 | 364 Pages | ISBN : 3319829696 | 7.9 MB

This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a first approximation, this can be seen as an extension of nonparametric regression.

Econometrics, Fifth Edition (Repost)

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Econometrics, Fifth Edition (Repost)

Econometrics, Fifth Edition by Badi H. Baltagi
English | PDF | 2011 | 414 Pages | ISBN : 3642200583 | 4.6 MB

This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata or Eviews.

SPSS for Starters and 2nd Levelers

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SPSS for Starters and 2nd Levelers

SPSS for Starters and 2nd Levelers by Ton J. Cleophas, Aeilko H. Zwinderman
English | PDF(True) | 2016 | 361 Pages | ISBN : 3319205994 | 9.8 MB

For medical and health workers this book is a must-have, because statistical methods in these fields are vital, and no equivalent work is available. For medical and health students this is equally true.

Datalog and Logic Databases

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Datalog and Logic Databases

Datalog and Logic Databases by Sergio Greco
English | PDF(True) | 2015 | 171 Pages | ISBN : 1627051139 | 1.17 MB

The use of logic in databases started in the late 1960s. In the early 1970s Codd formalized databases in terms of the relational calculus and the relational algebra. A major influence on the use of logic in databases was the development of the field of logic programming. Logic provides a convenient formalism for studying classical database problems and has the important property of being declarative, that is, it allows one to express what she wants rather than how to get it.

Peer-to-Peer Data Management

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Peer-to-Peer Data Management

Peer-to-Peer Data Management by Karl Aberer
English | PDF(True) | 2011 | 152 Pages | ISBN : 1608457192 | 5.22 MB

This lecture introduces systematically into the problem of managing large data collections in peer-to-peer systems. Search over large datasets has always been a key problem in peer-to-peer systems and the peer-to-peer paradigm has incited novel directions in the field of data management. This resulted in many novel peer-to-peer data management concepts and algorithms, for supporting data management tasks in a wider sense, including data integration, document management and text retrieval. The lecture covers four different types of peer-to-peer data management systems that are characterized by the type of data they manage and the search capabilities they support.

An Introduction to Duplicate Detection

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An Introduction to Duplicate Detection

An Introduction to Duplicate Detection by Felix Naumann
English | PDF | 2010 | 87 Pages | ISBN : 1608452204 | 0.99 MB

With the ever increasing volume of data, data quality problems abound. Multiple, yet different representations of the same real-world objects in data, duplicates, are one of the most intriguing data quality problems. The effects of such duplicates are detrimental; for instance, bank customers can obtain duplicate identities, inventory levels are monitored incorrectly, catalogs are mailed multiple times to the same household, etc. Automatically detecting duplicates is difficult: First, duplicate representations are usually not identical but slightly differ in their values. Second, in principle all pairs of records should be compared, which is infeasible for large volumes of data. This lecture examines closely the two main components to overcome these difficulties: (i) Similarity measures are used to automatically identify duplicates when comparing two records. Well-chosen similarity measures improve the effectiveness of duplicate detection. (ii) Algorithms are developed to perform on very large volumes of data in search for duplicates. Well-designed algorithms improve the efficiency of duplicate detection. Finally, we discuss methods to evaluate the success of duplicate detection.

Access Control in Data Management Systems

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Access Control in Data Management Systems

Access Control in Data Management Systems by Elena Ferrari
English | PDF | 2010 | 117 Pages | ISBN : 1608453758 | 0.5 MB

Access control is one of the fundamental services that any Data Management System should provide. Its main goal is to protect data from unauthorized read and write operations. This is particularly crucial in today's open and interconnected world, where each kind of information can be easily made available to a huge user population, and where a damage or misuse of data may have unpredictable consequences that go beyond the boundaries where data reside or have been generated.

Introduction to Logic, Second Edition

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Introduction to Logic, Second Edition

Introduction to Logic, Second Edition by Michael Genesereth
English | PDF(True) | 2013 | 165 Pages | ISBN : 162705247X | 1.67 MB

This book is a gentle but rigorous introduction to Formal Logic. It is intended primarily for use at the college level. However, it can also be used for advanced secondary school students, and it can be used at the start of graduate school for those who have not yet seen the material. The approach to teaching logic used here emerged from more than 20 years of teaching logic to students at Stanford University and from teaching logic to tens of thousands of others via online courses on the World Wide Web. The approach differs from that taken by other books in logic in two essential ways, one having to do with content, the other with form.

Introduction to Logic

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Introduction to Logic

Introduction to Logic by Michael Genesereth
English | PDF(True) | 2012 | 167 Pages | ISBN : 1627050051 | 1.43 MB

This book is a gentle but rigorous introduction to formal logic. It is intended primarily for use at the college level. However, it can also be used for advanced secondary school students, and it can be used at the start of graduate school for those who have not yet seen the material. The approach to teaching logic used here emerged from more than 20 years of teaching logic to students at Stanford University and from teaching logic to tens of thousands of others via online courses on the World Wide Web. The approach differs from that taken by other books in logic in two essential ways, one having to do with content, the other with form.

Essential Principles for Autonomous Robotics

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Essential Principles for Autonomous Robotics

Essential Principles for Autonomous Robotics by Henry Hexmoor
English | PDF(True) | 2013 | 157 Pages | ISBN : 1627050582 | 13.09 MB

From driving, flying, and swimming, to digging for unknown objects in space exploration, autonomous robots take on varied shapes and sizes. In part, autonomous robots are designed to perform tasks that are too dirty, dull, or dangerous for humans. With nontrivial autonomy and volition, they may soon claim their own place in human society. These robots will be our allies as we strive for understanding our natural and man-made environments and build positive synergies around us. Although we may never perfect replication of biological capabilities in robots, we must harness the inevitable emergence of robots that synchronizes with our own capacities to live, learn, and grow.

Computational Aspects of Cooperative Game Theory

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Computational Aspects of Cooperative Game Theory

Computational Aspects of Cooperative Game Theory by Georgios Chalkiadakis
English | PDF(True) | 2011 | 170 Pages | ISBN : 1608456528 | 1.41 MB

Cooperative game theory is a branch of (micro-)economics that studies the behavior of self-interested agents in strategic settings where binding agreements among agents are possible. Our aim in this book is to present a survey of work on the computational aspects of cooperative game theory. We begin by formally defining transferable utility games in characteristic function form, and introducing key solution concepts such as the core and the Shapley value. We then discuss two major issues that arise when considering such games from a computational perspective: identifying compact representations for games, and the closely related problem of efficiently computing solution concepts for games. We survey several formalisms for cooperative games that have been proposed in the literature, including, for example, cooperative games defined on networks, as well as general compact representation schemes such as MC-nets and skill games. As a detailed case study, we consider weighted voting games: a widely-used and practically important class of cooperative games that inherently have a natural compact representation. We investigate the complexity of solution concepts for such games, and generalizations of them.

Representations and Techniques for 3D Object Recognition and Scene Interpretation

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Representations and Techniques for 3D Object Recognition and Scene Interpretation

Representations and Techniques for 3D Object Recognition and Scene Interpretation by Derek Hoiem
English | PDF(True) | 2011 | 171 Pages | ISBN : 1608457281 | 29.91 MB

One of the grand challenges of artificial intelligence is to enable computers to interpret 3D scenes and objects from imagery. This book organizes and introduces major concepts in 3D scene and object representation and inference from still images, with a focus on recent efforts to fuse models of geometry and perspective with statistical machine learning.

Human Computation

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Human Computation

Human Computation by Edith Law
English | PDF(True) | 2011 | 123 Pages | ISBN : 1608455165 | 3.05 MB

Human computation is a new and evolving research area that centers around harnessing human intelligence to solve computational problems that are beyond the scope of existing Artificial Intelligence (AI) algorithms. With the growth of the Web, human computation systems can now leverage the abilities of an unprecedented number of people via the Web to perform complex computation. There are various genres of human computation applications that exist today. Games with a purpose (e.g., the ESP Game) specifically target online gamers who generate useful data (e.g., image tags) while playing an enjoyable game. Crowdsourcing marketplaces (e.g., Amazon Mechanical Turk) are human computation systems that coordinate workers to perform tasks in exchange for monetary rewards. In identity verification tasks, users perform computation in order to gain access to some online content; an example is reCAPTCHA, which leverages millions of users who solve CAPTCHAs every day to correct words in books that optical character recognition (OCR) programs fail to recognize with certainty.

Trading Agents

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Trading Agents

Trading Agents by Michael P. Wellman
English | PDF(True) | 2011 | 109 Pages | ISBN : 1598296051 | 1.11 MB

Automated trading in electronic markets is one of the most common and consequential applications of autonomous software agents. Design of effective trading strategies requires thorough understanding of how market mechanisms operate, and appreciation of strategic issues that commonly manifest in trading scenarios. Drawing on research in auction theory and artificial intelligence, this book presents core principles of strategic reasoning that apply to market situations. The author illustrates trading strategy choices through examples of concrete market environments, such as eBay, as well as abstract market models defined by configurations of auctions and traders. Techniques for addressing these choices constitute essential building blocks for the design of trading strategies for rich market applications.