• aitupaopao
    了解作者
  • Python
    开发工具
  • 3.7MB
    文件大小
  • zip
    文件格式
  • 0
    收藏次数
  • 1 积分
    下载积分
  • 3
    下载次数
  • 2017-10-11 12:49
    上传日期
python 代码,机器学习基础学习,算法。
boyilun.zip
  • 讲义
  • blackboard19_0.pdf
    181KB
  • blackboard05_0.pdf
    102.9KB
  • blackboard22_0.pdf
    173.6KB
  • blackboard03_0.pdf
    155.6KB
  • blackboard04_0.pdf
    175.6KB
  • blackboard16_0.pdf
    151KB
  • blackboard21_0.pdf
    159.2KB
  • blackboard06_0.pdf
    163.6KB
  • blackboard09_0.pdf
    158.2KB
  • blackboard15_0.pdf
    160.7KB
  • blackboard02_0.pdf
    159.8KB
  • blackboard24_0.pdf
    149.6KB
  • blackboard18_0.pdf
    163.9KB
  • blackboard12_0.pdf
    167.5KB
  • blackboard20_0.pdf
    168.1KB
  • blackboard23_0.pdf
    153.4KB
  • blackboard13_0.pdf
    146.6KB
  • blackboard10_0.pdf
    168.4KB
  • blackboard01_0.pdf
    147.3KB
  • blackboard11_0.pdf
    170.5KB
  • blackboard07_0.pdf
    145.1KB
  • blackboard17_0.pdf
    148.6KB
  • blackboard14_0.pdf
    157.6KB
  • blackboard08_0.pdf
    108.3KB
  • 课程简介
  • Lecture 16 - Backward Induction Reputation and Duels.txt
    705B
  • Lecture 4 - Best Responses in Soccer and Business Partnerships.txt
    434B
  • Lecture 1 - Introduction Five First Lessons.txt
    833B
  • Lecture 24 - Asymmetric Information Auctions and the Winner's Curse.txt
    824B
  • Lecture 2 - Putting Yourselves into Other People's Shoes.txt
    799B
  • Lecture 12 - Evolutionary Stability Social Convention, Aggression, and Cycles.txt
    459B
  • Lecture 7 - Nash Equilibrium Shopping, Standing and Voting on a Line.txt
    776B
  • Lecture 20 - Subgame Perfect Equilibrium Wars of Attrition.txt
    871B
  • Lecture 8 - Nash Equilibrium Location, Segregation and Randomization.txt
    639B
  • Lecture 17 - Backward Induction Ultimatums and Bargaining.txt
    656B
  • Lecture 13 - Sequential Games Moral Hazard, Incentives, and Hungry Lions.txt
    634B
  • Lecture 22 - Repeated Games Cheating, Punishment, and Outsourcing.txt
    949B
  • Lecture 10 - Mixed Strategies in Baseball, Dating and Paying Your Taxes.txt
    642B
  • Lecture 6 - Nash Equilibrium Dating and Cournot.txt
    394B
  • Lecture 9 - Mixed Strategies in Theory and Tennis.txt
    473B
  • Lecture 3 - Iterative Deletion and the Median-Voter Theorem.txt
    551B
  • Lecture 18 - Imperfect Information Information Sets and Sub-Game Perfection.txt
    880B
  • Lecture 14 - Backward Induction Commitment, Spies, and First-Mover Advantages.txt
    608B
  • Lecture 5 - Nash Equilibrium Bad Fashion and Bank Runs.txt
    604B
  • Lecture 11 - Evolutionary Stability Cooperation, Mutation, and Equilibrium.txt
    462B
  • Lecture 23 - Asymmetric Information Silence, Signaling and Suffering Education.txt
    961B
  • Lecture 19 - Subgame Perfect Equilibrium Matchmaking and Strategic Investments.txt
    923B
  • Lecture 15 - Backward Induction Chess, Strategies, and Credible Threats.txt
    647B
  • Lecture 21 - Repeated Games Cooperation vs. the End Game.txt
    1.1KB
  • 考试
  • 期末考试答案.pdf
    518KB
  • 期中考试答案.pdf
    518KB
  • 期末考试2005.pdf
    290.9KB
  • 期中考试题目.pdf
    205.5KB
  • 期末考试2005答案.pdf
    449KB
  • 期末考试题目.pdf
    284KB
  • 课程.txt
    972B
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/638464d9e53e5839a7f88099/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/638464d9e53e5839a7f88099/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0">Answ<span class="_ _0"></span>ers<span class="_ _1"> </span>for<span class="_ _1"> </span>the<span class="_ _1"> </span>Final<span class="_ _1"> </span>Exam</div><div class="t m0 x2 h3 y2 ff2 fs1 fc0 sc0 ls0 ws0">Econ<span class="_ _2"> </span>159a/MGT522a<span class="_ _3"> </span>Ben<span class="_ _2"> </span>P<span class="_ _0"></span>olak</div><div class="t m0 x3 h3 y3 ff2 fs1 fc0 sc0 ls0 ws0">F<span class="_ _4"></span>all<span class="_ _2"> </span>2007</div><div class="t m0 x4 h4 y4 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">This<span class="_ _5"> </span>is<span class="_ _5"> </span>a<span class="_ _6"> </span><span class="ff5">closed-b<span class="_ _7"></span>o<span class="_ _7"></span>ok<span class="_ _5"> </span></span>exam.</span></div><div class="t m0 x4 h4 y5 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">There<span class="_ _5"> </span>are<span class="_ _5"> </span><span class="ff5">6<span class="_ _6"> </span></span>pages<span class="_ _5"> </span>including<span class="_ _6"> </span>this<span class="_ _5"> </span>one.</span></div><div class="t m0 x4 h4 y6 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">The<span class="_ _5"> </span>exam<span class="_ _5"> </span>lasts<span class="_ _6"> </span>for<span class="_ _5"> </span><span class="ff5">150<span class="_ _6"> </span></span>min<span class="_ _0"></span>utes<span class="_ _6"> </span>(plus<span class="_ _5"> </span><span class="ff5">30<span class="_ _6"> </span></span>min<span class="_ _0"></span>utes<span class="_ _6"> </span>reading<span class="_ _5"> </span>time).</span></div><div class="t m0 x4 h4 y7 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">There<span class="_ _5"> </span>are<span class="_ _5"> </span><span class="ff5">150<span class="_ _6"> </span></span>total<span class="_ _5"> </span>p<span class="_ _7"></span>oints<span class="_ _5"> </span>av<span class="_ _0"></span>ailabl<span class="_ _0"></span>e.</span></div><div class="t m0 x4 h4 y8 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">There<span class="_ _5"> </span>are<span class="_ _5"> </span><span class="ff5">&#58892;ve<span class="_ _5"> </span></span>questions,<span class="_ _6"> </span>w<span class="_ _0"></span>orth<span class="_ _6"> </span><span class="ff5">20,<span class="_ _6"> </span>15,<span class="_ _2"> </span>40,<span class="_ _2"> </span>30<span class="_ _6"> </span>and<span class="_ _2"> </span>45<span class="_ _2"> </span>p<span class="_ _7"></span>oin<span class="_ _0"></span>ts<span class="_ _6"> </span><span class="ff4">respectively<span class="_ _4"></span>.</span></span></span></div><div class="t m0 x4 h4 y9 ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">Please<span class="_ _5"> </span>notice<span class="_ _5"> </span>that<span class="_ _6"> </span>there<span class="_ _5"> </span>are<span class="_ _6"> </span><span class="ff5">F<span class="_ _0"></span>OR<span class="_ _4"></span>TY-FIVE<span class="_ _6"> </span><span class="ff4">points<span class="_ _5"> </span>av<span class="_ _0"></span>ail<span class="_ _0"></span>able<span class="_ _6"> </span>in<span class="_ _5"> </span>the<span class="_ _6"> </span>last<span class="_ _5"> </span>question.</span></span></span></div><div class="t m0 x4 h4 ya ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">Please<span class="_ _8"> </span>remem<span class="_ _0"></span>b<span class="_ _7"></span>er<span class="_ _5"> </span>to<span class="_ _8"> </span>attempt<span class="_ _5"> </span>the<span class="_ _5"> </span>easier<span class="_ _8"> </span>parts<span class="_ _5"> </span>of<span class="_ _8"> </span>all<span class="_ _5"> </span>the<span class="_ _8"> </span>questions.<span class="_ _9"> </span>Do<span class="_ _8"> </span>not<span class="_ _5"> </span>get<span class="_ _5"> </span>bogged<span class="_ _5"> </span>do<span class="_ _0"></span>wn</span></div><div class="t m0 x5 h4 yb ff4 fs2 fc0 sc0 ls0 ws0">on<span class="_ _5"> </span>the<span class="_ _6"> </span>hard<span class="_ _5"> </span>parts:<span class="_ _9"> </span><span class="ff5">mov<span class="_ _0"></span>e<span class="_ _6"> </span>on<span class="ff4">!</span></span></div><div class="t m0 x4 h4 yc ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">Please<span class="_ _5"> </span>put<span class="_ _5"> </span><span class="ff5">each<span class="_ _5"> </span></span>question<span class="_ _6"> </span>in<span class="_ _0"></span>to<span class="_ _6"> </span>a<span class="_ _5"> </span><span class="ff5">di&#58891;eren<span class="_ _0"></span>t<span class="_ _2"> </span>blue<span class="_ _2"> </span>b<span class="_ _7"></span>o<span class="_ _7"></span>ok.</span></span></div><div class="t m0 x4 h4 yd ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">Sho<span class="_ _0"></span>w<span class="_ _5"> </span>your<span class="_ _5"> </span>work.</span></div><div class="t m0 x4 h4 ye ff3 fs2 fc0 sc0 ls0 ws0">&#58895;<span class="_ _1"> </span><span class="ff4">Goo<span class="_ _7"></span>d<span class="_ _5"> </span>luck!</span></div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div> </body> </html>
评论
    相关推荐