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PAC Learning and Articial

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  • cours - matière : economics
PAC Learning and Artificial Neural Networks Martin Anthony and Norman Biggs Department of Mathematics, London School of Economics and Political Science (University of London), Houghton St., London WC2A 2AE, United Kingdom Running head: PAC learning and artificial neural networks Corresponding author: Martin Anthony. Telephone: +0719557623 email: 1
  • sample vector
  • pkn
  • training sample
  • agnostic pac-learning of functions on analog
  • dimension
  • pac
  • algorithm
  • functions
  • probability
  • sample

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DANIEL SHERERColumbia University Graduate School of Architecture, Planning, and Preservation 400 Avery Hall New York New York 10027 Office: 212 8543414 Cell: 646 6730933 dcs116@columbia.edu dcsherer@hotmail.com EDUCATION: 2000 Harvard University, Department of the History of Art and Architecture PhD 2000, Italian Renaissance Coursework with James Ackerman, Howard Burns, John Shearman 1992 Harvard University,Qualifying Paper Received (Masters Degree Equivalent) 1985Yale University BAMagna Cum Laude, Renaissance Studies 19834 Universita degli Studi di Bologna, Junior Year Abroad from Yale Coursework with Carlo Ginzburg, Umberto Eco FIELDS OF RESEARCH AND TEACHING: Italian Renaissance and Baroque Architecture, 14001750; Urban History (Antiquity to Baroque); Modernist Receptions of the Classical Tradition; Historiography, Theory and Criticism of Architecture (with emphases on Tafuri, the School of Venice, and Colin Rowe) ACADEMIC APPOINTMENTS: History/Theory of Architecture: 2006Harvard GSD Visiting Lecturer History Module 2, Renaissance/Baroque Buildings Texts Contexts