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Project team: Jonathan Huang, Chris Piech, Andy Nguyen, and Leonidas Guibas, with special thanks to Andrew Ng and Daphne Koller for making the data available to us. Abstract Art? Not quite! The above figure is the landscape of ~40,000 student submissions to the same programming assignment on Coursera's Machine Learning course. Nodes represent submissions and edges are drawn between syntactically s
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Assignments Gradiance (no late periods allowed, class token 79D9D7F3): GHW 1: Due on 1/25 at 11:59pm (Pacific Standard time). GHW 2: Due on 1/25 at 11:59pm. GHW 3: Due on 2/01 at 11:59pm. GHW 4: Due on 2/08 at 11:59pm. GHW 5: Due on 2/15 at 11:59pm. GHW 6: Due on 2/22 at 11:59pm. GHW 7: Due on 3/01 at 11:59pm. GHW 8: Due on 3/08 at 11:59pm. GHW 9: Due on 3/15 at 11:59pm. Homeworks (2 late periods
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Twitter Sentiment Classification using Distant Supervision Alec Go Stanford University Stanford, CA 94305 alecmgo@stanford.edu Richa Bhayani Stanford University Stanford, CA 94305 rbhayani@stanford.edu Lei Huang Stanford University Stanford, CA 94305 leirocky@stanford.edu ABSTRACT We introduce a novel approach for automatically classify- ing the sentiment of Twitter messages. These messages are cl
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CS101 This page shows the CS101 code-in-browser infrastructure that makes it easy to play with short snippets of code, as you might want for a CS0, CS Principles, or Computational Thinking course. I'm using this now for a course at Stanford. This is an early demo, but ultimately this work will be polished up and opened to make it easy to use or adapt for any course. I wanted to put this out now to
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Overview DCTCP is an enhancement to the TCP congestion control algorithm for data center networks. It leverages Explicit Congestion Notification (ECN), a feature which is increasingly becoming available in modern data center switches. DCTCP sources extract multi-bit feedback on congestion from the single-bit stream of ECN marks by estimating the fraction of marked packets. In doing so, DCTCP sour
Handouts: Basic Math recitation Slides Hadoop session Slides, Example, Hadoop Installation Instructions 1/3/2011 Introduction [PDF], MapReduce [PDF] Reading: Ch2: Large-Scale File Systems and Map-Reduce 1/5/2011 Association Rules: Frequent itemsets and Association rules [PDF] Reading: Ch6: Frequent itemsets 1/10/2011 Near Neighbor Search in High Dimensional Data [PDF] Reading: Ch3: Finding Simila
Articles Building Watson: An Overview of the DeepQA Project David Ferrucci, Eric Brown, Jennifer Chu-Carroll, James Fan, David Gondek, Aditya A. Kalyanpur, Adam Lally, J. William Murdock, Eric Nyberg, John Prager, Nico Schlaefer, and Chris Welty I IBM Research undertook a challenge to build a computer system that could compete at the human champion level in real time on the American TV quiz sho
Course information: This course is the first part in a two part sequence CS246/CS341 replacing CS345A. CS246 will discuss methods and algorithms for mining massive data sets, while CS341 (Advanced Topics in Data Mining) will be a project-focused advanced class. Instructor: Jure Leskovec Office Hours: TBD, Gates 418 Room: Mon,Wed 9:30-10:45 in 420-041 (Jordan Hall, room 041) Teaching assistants: Ad
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Using OpenCV in Android. This tutorial is tested under Ubuntu 10.04 + Android SDKr07 + Android NDKr4b. Preparing the development environment Download and install Android SDK. Details can be found here Download eclipse and install the ADT plugin. Details can be found here Download Androdi NDK. This tool is used to cross compile OpenCV source code to Android. Currently (NDK r4) only C is fully supp
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What is IncPy? IncPy (Incremental Python) is an enhanced Python interpreter that speeds up script execution times by automatically memoizing (caching) the results of long-running function calls and then re-using those results rather than re-computing when safe to do so. When you first run your script with the IncPy interpreter, it might be ~20% slower since IncPy needs to determine which functions
Paving the way for a brighter future MS&E creates solutions to pressing societal problems by integrating and pushing the frontiers of operations research, economics, and organization science.Explore our research areas Why Stanford MS&E? Management Science and Engineering (MS&E) is one of Stanford’s most innovative and expansive departments. Our unique focus on the interface of engineering, busines
September-December, 2011 - Stanford University, California Contents Course Information Course Schedule Lecture Handouts Readings Assignments Project Instructor Bios Related Courses Acknowledgement Course Information Overview Computational advertising is an emerging new scientific sub-discipline, at the intersection of large scale search and text analysis, information retrieval, statistical modelin
SpiderMonkey JavaScript Shell SpiderMonkey is the JavaScript engine used in Firefox 2.0. On this page, you can download the SpiderMonkey engine as a stand-alone JavaScript shell. Download SpiderMonkey for Windows: To download the JavaScript shell, download the SpiderMonkey executable and the Cygwin DLL to the same folder. SpiderMonkey executable Cygwin DLL Download SpiderMonkey for Mac OS X: To do
The syllabus for CS193P is preliminary and is subject to change, especially the last few weeks where we will be working on a final project and have some freedom regarding what topics we cover in lecture. We want to hear from the students about what topics might be of particular interest and will tailor the last few weeks to satisfy those interests. You can download a PDF version of the syllabus fr
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I am a third-year PhD student in theoretical computer science at Stanford University under Rajeev Motwani. My research interests are a little eclectic, but so far I have been focusing on analyzing and improving local search algorithms. I also have a CV in a likely futile attempt to keep it current. Papers k-means++: The advantages of careful seeding, (David Arthur and Sergei Vassilvitskii). Ap
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Course Description This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practica
4/26/2007 1 Software Engineering Advice from Building Large-Scale Distributed Systems Jeff Dean http://labs.google.com/people/jeff Context • Lessons drawn from work across a broad range of areas – Products (ad serving systems, AdSense, four generations of web search crawling, indexing, and query serving systems, Google News, statistical machine translation, Google Codesearch, etc.) – Infrastructu
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ホーム 履歴書 著書紹介 学術論文 学界活動 コラム・書評 国際活動 仮想制度研 (c) Alexandre Wimmer 連絡先 <aoki@stanford.edu> 東京財団 〒107-0052 港区赤坂1-2-2日本財団ビル3階 Tel: 03-6229-5628 Fax: 03-6229-5506 助手: 板屋 <aoki.sec@gmail.com> Stanford University 327 Landau Economics Center Stanford California 94305 USA Tel: 650-723-3975 Fax:650-725-5702 English Page プロフィール スタンフォード大学名誉教授、同大学経済政策研究所（SIEPR）上級研究員（Senior Fellow）、同大学フリーマン・スポグリ国際研究所（FSI
Dan Keen from Apple joined us today to talk about Bonjour and Streams. We had a successful experiment of distributing an app built with our class provisioning profile using a local wifi network. 17-BonjourAndStreams.pdf17-ZombieNav.zip
Schedule and Syllabus Unless otherwise specified the course lectures and meeting times are: Tuesday, Thursday 4:30-5:50 Location: NVIDIA Auditorium
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CS 276 / LING 286 Information Retrieval and Web Mining Autumn 2006 Course Syllabus Required Textbook: IIR = Introduction to Information Retrieval, by C. Manning, P. Raghavan, and H. Schütze. This book is available in draft form, as a reader, from the Stanford bookstore. You can also download and print (perhaps updated) chapters at the book website or from the course syllabus. We’re trying to i
Announcements EE364a will next be taught Spring Quarter 2008–09. The final exam and final exam solutions have been posted on the final exam page. Videos of the lectures are available to anyone.
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There's a wonderful tool by Gilad Mishne for debugging STL code with GDB. Unfortunately, it had some bugs (or perhaps incompatibilities with my versions of GCC/GDB). So I've fixed these bugs and repackaged it in a slightly more user-friendly format. Download gdb_stl_utils.tar.gz, extract it, and run make. This will compile and install the necessary files in ~/.gdb (edit the Makefile if you want to
197 7 ACM Turing Award Lecture The 1977 ACM Turing Award was presented to John Backus at the ACM Annual Conference in Seattle, October 17. In intro- ducing the recipient, Jean E. Sammet, Chairman of the Awards Committee, made the following comments and read a portion of the final citation. The full announcement is in the September 1977 issue of Communications, page 681. "Probably there is nobody
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