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John Shawe-Taylor

    Learning theory
    Masters of the Everyday
    Kernel Methods for Pattern Analysis
    Masterpieces from Buckingham Palace
    • In this beautifully designed book, Desmond Shawe-Taylor, Surveyor of The Queen’s Pictures, and Assistant Curator of Paintings, Isabella Manning, examine 65 of the most celebrated paintings from the Picture Gallery, which sits at the heart of Buckingham Palace.With masterpieces by such artists as Vermeer, Rembrandt, Van Dyck, Rubens, Titian, Jan Steen, Claude, and Canaletto, this publication offers new insights into these world-famous works of art. The authors encourage readers to look at the works in a new way and to consider how Claude paints a sky; how Rubens models the landscape through his use of color; and how Titian uses contrast to add gravitas to a portrait. Rather than re-treading the old boards of provenance and attribution, the authors seek to engage with different, perhaps riskier and more subjective, asking not when were they painted and by whom, but why should we concern ourselves with them? A short introduction gives an account of the creation of the Picture Gallery and tells the story of the monarchs who curated this extraordinary collection of paintings and how the works entered the Collection.

      Masterpieces from Buckingham Palace
    • This book offers an innovative exploration of emerging trends in data mining and machine learning. It delves into cutting-edge techniques and methodologies, providing insights into their practical applications and implications for various industries. The text is designed for both beginners and experienced practitioners, making complex concepts accessible while encouraging further investigation into this rapidly evolving field.

      Kernel Methods for Pattern Analysis
    • Masters of the Everyday

      • 173pages
      • 7 heures de lecture

      During the seventeenth century, Dutch artists were unparalleled in their dedication to depicting ordinary people doing everyday things. Genre painting was the preeminent expression of this dedication, offering candid glimpses into the peasant cottages and village courtyards of the Dutch Golden Age, each painting lit with the period's vibrant color palette and rich with radiant natural light. This superb collection by the curators of an accompanying exhibition focuses on a selection of works of Dutch genre painting from the Royal Collection's holdings. Johannes Vermeer, Jan Steen, Gerrit Dou, Gabriel Metsu, and Pieter de Hooch are among the masters whose works are finely reproduced here. While the subject matter may be ordinary--the preparation of food, the bustle of a busy market, the enjoyment of taverns and town festivities--the meticulously documented details often allude to a work's deeper meaning or to moral messages that would have been familiar to the contemporary viewer. The book explores these hidden moral messages, as well as the artists' penchant for clever visual puns. Readers interested in the Dutch Golden Age or seventeenth-century art will welcome this volume. Individual essays on each painting, close-up photography showing important details, and a selection of comparative images add to the book's richness and provide valuable context.

      Masters of the Everyday
    • Learning theory

      • 648pages
      • 23 heures de lecture

      This volume contains papers presented at the 17th Annual Conference on Le- ning Theory (previously known as the Conference on Computational Learning Theory) held in Ban?, Canada from July 1 to 4, 2004. The technical program contained 43 papers selected from 107 submissions, 3 open problems selected from among 6 contributed, and 3 invited lectures. The invited lectures were given by Michael Kearns on 'Game Theory, Automated Trading and Social Networks', Moses Charikar on 'Algorithmic Aspects of - nite Metric Spaces', and Stephen Boyd on 'Convex Optimization, Semide?nite Programming, and Recent Applications'. These papers were not included in this volume. The Mark Fulk Award is presented annually for the best paper co-authored by a student. Thisyear theMark Fulk award wassupplemented with two further awards funded by the Machine Learning Journal and the National Information Communication Technology Centre, Australia (NICTA). We were therefore able toselectthreestudentpapersforprizes.ThestudentsselectedwereMagalieF- montforthesingle-authorpaper"ModelSelectionbyBootstrapPenalizationfor Classi?cation", Daniel Reidenbach for the single-author paper "On the Lear- bility of E-Pattern Languages over Small Alphabets", and Ran Gilad-Bachrach for the paper "Bayes and Tukey Meet at the Center Point" (co-authored with Amir Navot and Naftali Tishby).

      Learning theory