Andrew b goldberg (30 risultati)

hardcover. Condizione: Good. Hardcover with dust jacket. Book is in very nice condition, pages are tight. Some pages have sidelining.

Paperback. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condizione: New. 1st. Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines/ Human Semi-Supervised Learning / Theory and Outlook. …

Condizione: New.

Condizione: New. In English.

Paperback. Condizione: Brand New. 9.25x7.51 inches. In Stock.

Condizione: New. 1st edition NO-PA16APR2015-KAP.

Paperback. Condizione: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality.…

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines/ Human Semi-Supervised Learning / Theory and Outlook.…

Condizione: New. Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradi.

Condizione: New. New.

Paperback. Condizione: New. 1st. Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines/ Human Semi-Supervised Learning / Theory and Outlook. …

Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Condizione: New. Brand New.

Hardback. Condizione: Very Good. The Oxford Handbook of the New Private Law reflects exciting developments in scholarship dedicated to reinvigorating the study of the broad field of private law. This field embraces the traditional common law subjects (property, contracts, and torts), as well as adjacent, more statutory areas, such as intellectual property and commercial law. It also includes important areas that have been neglected in the United States but are beginning to make a comeback. These include unjust enrichment, restitution, equity, and remedies more generally. "Private law" can also mean private law as a whole, which invites consideration of issues such as the public-private distinction, the similarities and differences between the various areas of private law, and the institutional framework supporting private law - including courts, arbitrators, and even custom. The New Private Law is an approach to these subjects that aims to bring a new outlook to the study of private law by moving beyond reductively instrumentalist policy evaluation and narrow, rule-by-rule, doctrine-by-doctrine analysis, so as to consider and capture how private law's various features fit and work together, as well as the normative underpinnings of these larger structures. This movement has begun resuscitating the notion of private law itself in the United States and has brought an interdisciplinary perspective to the more traditional, doctrinal approach prevalent in Commonwealth countries. The Handbook embraces a broad range of perspectives to private law - including philosophical, economic, historical, and psychological, to name a few - yet it offers a unifying theme of seriousness about the structure and content of private law. It will be an essential resource for legal scholars interested in the future of this important field.…

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardcover. Condizione: new. Hardcover. The Oxford Handbook of the New Private Law reflects exciting developments in scholarship dedicated to reinvigorating the study of the broad field of private law. This field embraces the traditional common law subjects (property, contracts, and torts), as well as adjacent, more statutory areas, such as intellectual property and commercial law. It also includes important areas that have been neglected in the United States but are beginning to make acomeback. These include unjust enrichment, restitution, equity, and remedies more generally. "Private law" can also mean private law as a whole, which invites consideration of issues such as the public-privatedistinction, the similarities and differences between the various areas of private law, and the institutional framework supporting private law - including courts, arbitrators, and even custom.The New Private Law is an approach to these subjects that aims to bring a new outlook to the study of private law by moving beyond reductively instrumentalist policy evaluation and narrow, rule-by-rule, doctrine-by-doctrine analysis, so as to consider and capture how private law'svarious features fit and work together, as well as the normative underpinnings of these larger structures. This movement has begun resuscitating the notion of private law itself in the United States andhas brought an interdisciplinary perspective to the more traditional, doctrinal approach prevalent in Commonwealth countries. The Handbook embraces a broad range of perspectives to private law - including philosophical, economic, historical, and psychological, to name a few - yet it offers a unifying theme of seriousness about the structure and content of private law. It will be an essential resource for legal scholars interested in the future of this important field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condizione: New.

Buch. Condizione: Neu. Neuware - The Oxford Handbook of the New Private Law reflects exciting developments in scholarship dedicated to reinvigorating the study of the broad field of private law. This field embraces the traditional common law subjects (property, contracts, and torts), as well as adjacent, more statutory areas, such as intellectual property and commercial law. It also includes important areas that have been neglected in the United States but are beginning to make a comeback. These include unjust enrichment, restitution, equity, and remedies more generally. 'Private law' can also mean private law as a whole, which invites consideration of issues such as the public-private distinction, the similarities and differences between the various areas of private law, and the institutional framework supporting private law - including courts, arbitrators, and even custom. The New Private Law is an approach to these subjects that aims to bring a new outlook to the study of private law by moving beyond reductively instrumentalist policy evaluation and narrow, rule-by-rule, doctrine-by-doctrine analysis, so as to consider and capture how private law's various features fit and work together, as well as the normative underpinnings of these larger structures. This movement has begun resuscitating the notion of private law itself in the United States and has brought an interdisciplinary perspective to the more traditional, doctrinal approach prevalent in Commonwealth countries. The Handbook embraces a broad range of perspectives to private law - including philosophical, economic, historical, and psychological, to name a few - yet it offers a unifying theme of seriousness about the structure and content of private law. It will be an essential resource for legal scholars interested in the future of this important field.…

Hardcover. Condizione: Brand New. 632 pages. 9.75x6.75x1.50 inches. In Stock.

Condizione: New.

Encuadernación de tapa blanda. Condizione: Bien. Condizione sovraccoperta: Bien. NAKED CITY Nan Goldin talks with Nobuyoshi Araki CHILL: THE NEW AMBIENT Muzak of the Fears Simon Reynolds Surround Sound Paul D. Miller CRITICAL REFLECTIONS Georges Didi-Huberman with an introduction by Rosalind E. Krauss THE ART OF THE MATTER: CURATING THE WHITNEY BIENNIAL Jack Bankowsky talks with Klaus Kertess POLL STARS: KOMAR & MELAMID S THE PEOPLE S CHOICE Andrew Ross WASHINGTON LIVES! A PROJECT FOR ARTFORUM Komar & Melamid JANNIS KOUNELLIS: BOAT IONION, PIRAEUS, 1994 Bruno Corà OPENINGS: PETER SCHOOLWERTH Thomas McEvilley COLUMNS FEATURES REVIEWS Benjamin H. D. Buchloh on Focus: The Italian Metamorphosis, 1943 1968 NEW YORK Donald Kuspit on Susan Rothenberg Donald Kuspit on Fausto Melotti Neville Wakefield on Gary Hume Barry Schwabsky on Sue Williams Keith Seward on Andres Serrano Keith Seward on Jeanne Dunning Thomas McEvilley on Luis Cruz Azaceta Bruce Hainley on Rirkrit Tiravanija Bruce Hainley on Billy Sullivan Ingrid Schaffner on Rita McBride Joshua Decter on Stephen Prina Linda Yablonsky on Catherine McCarthy Jenifer P. Borum on Robert Younger Jenifer P. Borum on Lonnie Holley Patricia C. Phillips on Michael Sorkin RoseLee Goldberg on Maly Drama Theatre of St. Petersburg CINCINATTI Joan Seeman Robinson on Martha Rosler CHICAGO James Yood on Matthew Girson SANTA FE Mark Van de Walle on Kiki Smith LOS ANGELES Andrew Perchuk on Joel Otterson Lisa Anne Auerbach on Michael Coughlan TORONTO Laura U. Marks on Jane Ash Poitras MONTERREY Yishai Jusidman on Francis Alÿs SÃO PAULO Carlos Basualdo on Ernesto Neto BARCELONA Juan Vicente Aliaga on Jesús Martínez Oliva MADRID Menene Gras Balaguer on Victoria Civera MILAN Giorgio Verzotti on Massimo Bartolini PARIS Jérôme Sans on Seton Smith Miriam Rosen on John Vink ZURICH Sabine B. Vogel on Stan Douglas VIENNA Joshua Decter on Mark Dion NUREMBERG Peter Funken on Gerd Rohling COLOGNE Norbert Messler on Corrinne Wasmuht AMSTERDAM Frank Alexander Hettig on Manfred Stumpf LONDON Michael Archer on Lydia Dona. …

Encuadernación de tapa blanda. Condizione: Bien. Condizione sovraccoperta: Bien. Essays "Andrew Ross' Weather Report," by Andrew Ross; "Special Effects: Carol Squiers on Presidential Abjection," by Carol Squiers; "Press: John Weir on Discontents," by John Weir; "Lawrence Chua on Queer 'Zines," by Lawrence Chua; "Real Life Rock: Greil Marcus' Top Ten," by Greil Marcus; "Art Wars: Lorraine O'Grady on WAC," by Lorraine O'Grady; "Film: Luke Gibbons on the Other Ireland," by Luke Gibbons; "People Like Us: Tina Barney's Pictures," by David Rimanelli; "The Library in Your Good Hands: Raymond Pettibon," by David Deitcher; "Pwo Artists Sitting under a Tree: Chez Neil Jenney's Lumberyard," by Izhar Patkin; "America is an Old Country," by Dick Hebdige; "At Home in His World: The Pleasure of Henri Matisse"; "Martisse, Art, and Le Bonheur," by Arthur C. Danto; "The Matisse System," Yves-Alain Bois; "Henri Matisse: Armchair Agonist," by Donald Kuspit; "All Work and All Play," by Philip Taaffe; "In the Form of a Thistle: A Conversation with John Cage," by Thomas McEvilley; "Openings: Christopher Sasser," by Dan Cameron. Reviews by Matthew Weinstein, Jan Avgikos, Donald Kuspit, Keith Seward, David Pagel, Justin Spring, Jenifer P. Borum, Ronny Cohen, Patricia C. Phillips, RoseLee Goldberg, Francine Koslow Miller, K. Marriott Jones, James Yood, Jeffrey Kastner, Joan Seeman Robinson, Lane Relyea, David Pagel, Amy Gerstler, John K. Grande, Carlos Basualdo, Menene Gras Balaguer, Anthony Iannacci, Francesca Pasini, Giorgio Verzotti, Anne Dagbert, Anne Krauter, Christian Kravagna, Markus Brüderlin, Sabine B. Vogel, Jutta Koether, Sabine B. Vogel, Peter Funken, Michael Tarantino, Michael Archer, Marjorie Althorpe-Guyton, Charles Green. Cover: replica of the Santa Maria, West Edmonton Mall, Alberta, Canada.…

Encuadernación de tapa blanda. Condizione: Bien. Condizione sovraccoperta: Bien. Essays "Glamour Wounds: Rhonda Lieberman as Model-for-a-Day," by Rhonda Lieberman; "Gadget Love: Brian D'Amato on 'Millenium Auction,'" by Brian D'Amato; Gadget Love: Keith Seward on the Virtual Office," by Keith Seward; "American Myths: J. Hoberman on the Election Season," by J. Hoberman; "Real Life Rock: Greil Marcus' Top Ten," by Greil Marcus; "Theater: David Frankel on the Boys and the Bard," by David Frankel; "Books: Anders Stephanson reviews Fredric Jameson's 'The Seeds of Time,'" by Anders Stephanson; "Naked City," Nan Goldin talks with Nobuyoshi Araki; "Chill: The New Ambient. Muzak of the Fears," by Simon Reynolds; "Chill: The New Ambient. Surround Sound," by Paul D. Miller; "Critical Reflections," George Didi-Huberman with an introduction by Rosalind E. Krauss; "The Art of the Matter: Curating the Whitney Biennial," Jack Bankowsky talks with Klaus Kertess; "Poll Stars: Komar & Melamid's 'The People's Choice,'" by Andrew Ross; "Washington Lives!," A project for Artforum by Komar & Melamid; "Jannis Kounellis: 'Boat Ionion, Pieraeus," by Bruno Corà; "Openings: Pieter Schoolwerth," by Thomas McEvilley. Reviews by Keith Seward, Thomas McEvilley, Benjamin H.D. Buchloh, Donald Kuspit, Neville Wakefield, Barry Schwabsky, Bruce Hainley, Ingrid Schaffner, Joshua Decter, Linda Yablonsky, Jenifer P. Borum, Patricia C. Phillips, RoseLee Goldberg, Joan Seeman Robinson, James Yood, Mark Van de Walle, Andrew Perchuk, Lisa Anne Auerbach, Laura U. Marks, Yishai Jusidman, Carlos Basualdo, Juan Vicente Aliaga, Menene Gras Balaguer, Giorgio Verzotti, Jérôme Sans, Miriam Rosen, Sabine B. Vogel, Peter Funken, Norbert Messler, Frank Alexander Hettig, and Michael Archer. Cover: Nobuyoshi Araki.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Semi-supervised learning is a learning paradigm concerned with the study of how computers and natural systems such as humans learn in the presence of both labeled and unlabeled data. Traditionally, learning has been studied either in the unsupervised paradigm (e.g., clustering, outlier detection) where all the data are unlabeled, or in the supervised paradigm (e.g., classification, regression) where all the data are labeled. The goal of semi-supervised learning is to understand how combining labeled and unlabeled data may change the learning behavior, and design algorithms that take advantage of such a combination. Semi-supervised learning is of great interest in machine learning and data mining because it can use readily available unlabeled data to improve supervised learning tasks when the labeled data are scarce or expensive. Semi-supervised learning also shows potential as a quantitative tool to understand human category learning, where most of the input is self-evidently unlabeled. In this introductory book, we present some popular semi-supervised learning models, including self-training, mixture models, co-training and multiview learning, graph-based methods, and semi-supervised support vector machines. For each model, we discuss its basic mathematical formulation. The success of semi-supervised learning depends critically on some underlying assumptions. We emphasize the assumptions made by each model and give counterexamples when appropriate to demonstrate the limitations of the different models. In addition, we discuss semi-supervised learning for cognitive psychology. Finally, we give a computational learning theoretic perspective on semi-supervised learning, and we conclude the book with a brief discussion of open questions in the field. Table of Contents: Introduction to Statistical Machine Learning / Overview of Semi-Supervised Learning / Mixture Models and EM / Co-Training / Graph-Based Semi-Supervised Learning / Semi-Supervised Support Vector Machines / Human Semi-Supervised Learning / Theory and Outlook 132 pp. Englisch. …

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: new. Questo è un articolo print on demand.