Optimal Dating Algorithms

A proposal that we think about digital technologies such as machine learning not in terms of artificial intelligence but as artificial communication. Algorithms that work with deep learning and big data are getting so much better at doing so many things that it makes us uncomfortable. How can a device know what our favorite songs are, or what we should write in an email? Have machines become too smart? In Artificial Communication, Elena Esposito argues that drawing this sort of analogy between algorithms and human intelligence is misleading. If machines contribute to social intelligence, it will not be because they have learned how to think like us but because we have learned how to communicate with them. Esposito proposes that we think of “smart” machines not in terms of artificial intelligence but as artificial communication. To do this, we need a concept of communication that can take into account the possibility that a communication partner may not be a human being but an algor

A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learningNew material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays140 new exerc

An examination of dating app culture in China, across user demographics--straight women, straight men, queer women, and queer men.In this exploration of dating app culture in China, Lik Sam Chan argue

An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas.Digital technology runs on algorithms, sets of instr

Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks -- usually dull, repetitive ones. Starting from simple building blocks, computer a

This introduction to quantum algorithms is concise but comprehensive, covering many key algorithms. It is mathematically rigorous but requires minimal background and assumes no knowledge of quantum th

This book bridges optimal control theory and economics, discussing ordinarydifferential equations, optimal control, game theory, and mechanism design in one volume.Technically rigorous and largely sel

An Introduction to Distributed Algorithms takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-me

Parallel Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh

"An Introduction to Distributed Algorithms" takes up some of the main concepts and algorithms, ranging from basic to advanced techniques and applications, that underlie the programming of distributed-

Parallel-Algorithms for Regular Architectures is the first book to concentrate exclusively on algorithms and paradigms for programming parallel computers such as the hypercube, mesh, pyramid, and mesh

This hypermedia CD-ROM provides an ideal format for the visual explanation of complex algorithms contained in the text Introduction to Algorithms, by Thomas H. Cormen, Charles E. Leiserson, and Ronal

This is the first book on the optimal estimation that places its major emphasis on practical applications, treating the subject more from an engineering than a mathematical orientation.

An exploration of social media–imposed pressure on new mothers: How the supposed safe havens of online mommy groups have become rife with aggression and groupthink.Many mothers today turn to social media for parenting advice, joining online mothers’ groups on Facebook and elsewhere. But the communities they find in these supposed safe havens can be rife with aggression, peer pressure, and groupthink―insisting that only certain practices are “best,” “healthiest,” “safest” (and mandatory). In this book, Jessica Clements and Kari Nixon debunk the myth of “optimal motherhood”―the idea that there is only one right answer to parenting dilemmas, and that optimal mothers must pursue perfection. In fact, Clements and Nixon write, parenting choices are not binaries, and the scientific findings touted by mommy groups are neither clear cut nor prescriptive. Clements and Nixon trace contemporary ideas of optimal motherhood to the nineteenth-century “Cult of True Womanhood,” which viewed women in te

A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.Automated decision-making systems or decision-support systems―used in applications that range from aircraft collision avoidance to breast cancer screening―must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through inte

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics.This introduction to quantum algorithms is concise but

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on pr

The gap between theoretical ideas and messy reality, as seen in Neal Stephenson, Adam Smith, and Star Trek.We depend on—we believe in—algorithms to help us get a ride, choose which book to buy, execut

The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.This book offers students and researchers a guide to dist

Using the tools of information technology to understand the molecular machinery ofthe cell offers both challenges and opportunities to computational scientists. Over the past decade,novel algorithms h

This title covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of

Optimal Regulation addresses the central issue of regulatory economics - how toregulate firms in a way that induces them to produce and price "optimally." It synthesizes the majorfindings of an extens

We depend on -- we believe in -- algorithms to help us get a ride, choose which book to buy, execute a mathematical proof. It's as if we think of code as a magic spell, a

In this book, Dan Gusfield examines combinatorial algorithms to constructgenealogical and exact phylogenetic networks, particularly ancestral recombination graphs (ARGs).The algorithms produce network

This graduate-level textbook introduces fundamental concepts and methods in machinelearning. It describes several important modern algorithms, provides the theoretical underpinningsof these algorithms

This book probes the stable marriage problem and its variants as a rich source ofproblems and ideas that illustrate both the design and analysis of efficient algorithms. It coversthe most recent struc

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. This book presents theory and algorithms for weakly supervised learning, a paradigm of machine learning from weakly labeled data. Emphasizing an approach based on empirical risk minimization and drawing on state-of-the-art research in weakly supervised learning, the book provides both the fundamentals of the field and the advanced mathematical theories underlying them. It can be used as a reference for practitioners and researchers and in the classroom.The book first mathematically formulates classification problems, defines common notations, and reviews various algorithms for supervised binary and multiclass classif

A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music.As algorithms get smarter, what role will computers

An argument that health is optimal responsiveness and is often best treated at the system level. Medical education centers on the venerable "no-fault" concept of homeostasis, whereby local mechanism

A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learnin

Six classic science fiction stories and commentary that illustrate and explain key algorithms or principles of artificial intelligence.This book presents six classic science fiction stories and commen

An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research.The quantitati

This book presents a self-contained, comprehensive, and yet concise and condensed overview of the theory and methods of probability, integration, stochastic processes, optimal control, and their conne

Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures,

Despite its theoretical elegance, the standard optimal tax model has significantlimitations. In this book, Joel Slemrod and Christian Gillitzer argue that tax analysis must movebeyond the emphasis on

Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search tehnologies, including algorithms, data structures,

Computational systems biology unifies the mechanistic approach of systems biologywith the data-driven approach of computational biology. Computational systems biology aims todevelop algorithms that un

This volume offers researchers and engineers practical solutions for learning from large-scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large dat

This title offers a framework for online decision making under uncertainty and time constraints, with online stochastic algorithms for implementing the framework, performance guarantees, and demonstra

Empirical and theoretical studies on such questions as the desirability and optimal functioning of monetary unions, the enlargement of the eurozone, and the institution of monetary unions in Latin Ame