Consistency of Preferences and Near-Potential Games Ozan Candogan, Ishai Menache, Asu Ozdaglar and Pablo A. Parrilo Laboratory for Information and Decision Systems Electrical Engineering and Computer Science Massachusetts Institute of Technology LCCC - Lund - March 2010 1 / 40 Outline 1 Introduction 2 Potential Games Definition and Properties Characterization 3 Global Structure of Preferences Helm
戻り値は指定後の flag の値です。 第2引数に nil を指定すると、現状の設定値が返ります。 mode メソッドでは丸め操作の位置をユーザが指定することはできません。 丸め操作と位置を自分で制御したい場合は BigDecimal::limit や truncate/round/ceil/floor、 add/sub/mult/div といったインスタンスメソッドを使用して下さい。 limit([n]) 生成されるBigDecimalオブジェクトの最大桁数をn桁に制限します。 戻り値は設定する前の値です。設定値のデフォルト値は0で、桁数無制限という意味です。 n を指定しない、または n が nil の場合は、現状の最大桁数が返ります。 計算を続行する間に、数字の桁数が無制限に増えてしまうような場合 limit で予め桁数を制限できます。この場合 BigDecimal.mode で指定
Research Update: I am now an Assistant Professor at Harvard's Department of Psychology, heading the Computation, Cognition, and Development lab, where we study people's common-sense reasoning using computational tools and behavioral experiments with children and adults. This website will no longer be updated, for more recent information please check out this new website. Thesis My thesis was on th
Mark R. Brown Open Market, Inc. Document Version: 1.0 29 April 1996 Copyright © 1996 Open Market, Inc. 245 First Street, Cambridge, MA 02142 U.S.A. Tel: 617-621-9500 Fax: 617-621-1703 URL: http://www.openmarket.com/ $Id: fcgi-spec.html,v 1.1.1.1 2000/08/21 05:24:03 yandros Exp $ 1. Introduction 2. Initial Process State 2.1 Argument list 2.2 File descriptors 2.3 Environment variables 2.4 Other stat
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SOLUTION MANUAL Quantum Field Theory From Operators to Path Integrals Kerson Huang ii Chapter 1 1.1 Use the continuum approximation. The wave number of the lowest mode is k1 = 2πR−1 , where R is the length of the string. The corresponding frequency is f1 = ck1 (2π)−1 , where c is the propagation velocity. Thus c = f1 R. The cutoff frequency is fc = c(2a)−1 = f1 R(2a)−1 = 5 × 1011 s−1 . 1.2 This
NOTE: This page will automatically re-direct in 5 seconds to my new web site at https://rahwan.me. Iyad Rahwan is the AT&T Career Development Professor and an Associate Professor of Media Arts & Sciences at the MIT Media Lab, where he leads the Scalable Cooperation group. A native of Aleppo, Syria, Rahwan holds a PhD from the University of Melbourne, Australia, and is an affiliate faculty at the M
Dr. Jeremy Kepner is Head and Founder of the MIT Lincoln Laboratory Supercomputing Center (LLSC), and also a Founder of the MIT-Air Force AI Accelerator. Lincoln Laboratory is a 4000-person National Laboratory whose mission is to create defensive technologies to protect our Nation and the freedoms enshrined in the Constitution of the United States. Dr. Kepner is one of five Lincoln Laboratory Fell
Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks IEEE ISSCC 2016 Yu-Hsin Chen MIT Tushar Krishna MIT (now with Georgia Tech) Joel Emer MIT, NVIDIA Vivienne Sze MIT Email: eyeriss at mit dot edu Welcome to the Eyeriss Project website! A summary of all related papers can be found here. Other related websites and resources can be found here. Follow @eems_
Course Description Prerequisites Grading Problem Sets Projects Syllabus Reading List Course description The class covers foundations and recent advances of Machine Learning from the point of view of Statistical Learning Theory. Understanding intelligence and how to replicate it in machines is arguably one of the greatest problems in science. Learning, its principles and computational implementatio
Of the various anti-hacker activities of 1990, "Operation Sundevil" had by far the highest public profile. The sweeping, nationwide computer seizures of May 8, 1990 were unprecedented in scope and highly, if rather selectively, publicized. Unlike the efforts of the Chicago Computer Fraud and Abuse Task Force, "Operation Sundevil" was not intended to combat "hacking" in the sense of computer intrus
Staff Prof. Robert C. Berwick berwick@csail.mit.edu 32-D728, x3-8918 Office hours: Th 2-3 Course Support Lynne Dell lynne@mit.edu 32-D724, 617-324-1543 TA: Igor Malioutov igorm@mit.edu 32D-740 Office hrs: Fri 10-12pm Course Time & Place Lectures: M, W 3-4:30 PM Room: 4-145, map Level & Prerequisites Undergrad/Graduate; 6.034 or permission of instructor Policies Textbooks & readings Grading marks
About the symposium Today's science, tomorrow's engineering: We will be discussing current results in the scientific understanding of intelligence and how these results enable new approaches to replicate intelligence in engineered systems. Understanding intelligence and the brain requires theories at different levels, ranging from the biophysics of single neurons to algorithms, computations, and a
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