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David Evans cs.virginia/evans

David Evans cs.virginia/evans

Lecture 10: Puzzling Pegboards David Evans http://www.cs.virginia.edu/evans CS150: Computer Science University of Virginia Computer Science Menu Problem Sets 2 and 3 Pegboard Puzzler Problem Sets Not just meant to review stuff you should already know Get you to explore new ideas

By issac
(294 views)

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences Bing Liu Department of Computer Science University Of Illinois at Chicago http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html Introduction Two main types of textual information. Facts and Opinions

By jacob
(1848 views)

Welcome to CS 3331, Advanced Object-Oriented Programming

Welcome to CS 3331, Advanced Object-Oriented Programming

Welcome to CS 3331, Advanced Object-Oriented Programming Fall 2009 Dept. of Computer Science University of Texas at El Paso Course Staff Instructor: Yoonsik Cheon Email: ycheon@utep.edu Office: CS 202B (phone: 747-8028)

By richard_edik
(248 views)

Lab1 C++ Warmup with Grocery Shopping

Lab1 C++ Warmup with Grocery Shopping

Lab1 C++ Warmup with Grocery Shopping Cop 4331 and EEL4884 © Dr. David A. Workman School of EE and Computer Science University of Central Florida 20 January 2009 Problem Statement

By Mercy
(376 views)

Reputation Network Analysis for Email Filtering

Reputation Network Analysis for Email Filtering

Reputation Network Analysis for Email Filtering. Jennifer Golbeck, James Hendler Department of Computer Science University of Maryland, College Park MINDSWAP. The Popularity of Social Networking (i.e. “I like Kevin Bacon, too!”). Lots of websites for social networking Linked-in Friendster

By sherlock_clovis
(268 views)

Use of volatile additives to increase the antimicrobial efficacy of a corona discharge

Use of volatile additives to increase the antimicrobial efficacy of a corona discharge

Use of volatile additives to increase the antimicrobial efficacy of a corona discharge. Dr Lindsey Gaunt Bioelectrostatics Research Centre School of Electronics and Computer Science University of Southampton, UK.

By Samuel
(309 views)

Algorithmic Complexity 2

Algorithmic Complexity 2

Algorithmic Complexity 2. Fawzi Emad Chau-Wen Tseng Department of Computer Science University of Maryland, College Park. Overview. Big-O notation Analysis cases Critical section. Big-O Notation. Represents Upper bound on number of steps in algorithm

By Jimmy
(298 views)

ICS 278: Data Mining Lectures 12,13: Clustering Algorithms

ICS 278: Data Mining Lectures 12,13: Clustering Algorithms

ICS 278: Data Mining Lectures 12,13: Clustering Algorithms. Padhraic Smyth Department of Information and Computer Science University of California, Irvine. Clustering. “automated detection of group structure in data”

By omer
(314 views)

Project Presentations

Project Presentations

Project Presentations. Thursday next week, each student will make a 4-minute presentation on their project in class (with 1 or 2 minutes for questions) Email me your Powerpoint or PDF slides, with your name (e.g., joesmith.ppt), before 10am next Thursday Suggested content:

By andrew
(373 views)

Algorithmic Problems Related to Sequences and Phylogenetic Trees

Algorithmic Problems Related to Sequences and Phylogenetic Trees

Algorithmic Problems Related to Sequences and Phylogenetic Trees. Bhaskar DasGupta Department of Computer Science University of Illinois at Chicago Chicago, IL 60607-7053 Email: dasgupta@cs.uic.edu. Outline Introduction Substructure Comparison Problems Sequences

By Samuel
(169 views)

The peptide de novo sequencing from MS/MS spectrum

The peptide de novo sequencing from MS/MS spectrum

The peptide de novo sequencing from MS/MS spectrum. Kaizhong Zhang Department of Computer Science University of Western Ontario London, Ontario, Canada Joint work with Bin Ma, Gilles Lajoie, Amanda Doherty-Kirby, Chengzhi Liang, Ming Li. Introduction.

By herve
(633 views)

Welcome to CS 3331, Advanced Object-Oriented Programming

Welcome to CS 3331, Advanced Object-Oriented Programming

Welcome to CS 3331, Advanced Object-Oriented Programming. Fall 2009 Dept. of Computer Science University of Texas at El Paso. Course Staff. Instructor: Yoonsik Cheon Email: ycheon@utep.edu Office: CS 202B (phone: 747-8028)

By sirvat
(210 views)

On Minimizing Pattern Splitting in Multi-track String Matching

On Minimizing Pattern Splitting in Multi-track String Matching

On Minimizing Pattern Splitting in Multi-track String Matching. Kjell Lemström and Veli Mäkinen Department of Computer Science University of Helsinki. Minimum splitting problem.

By gyan
(169 views)

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences

Opinion Mining and Sentiment Analysis: NLP Meets Social Sciences. Bing Liu Department of Computer Science University Of Illinois at Chicago http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html. Introduction. Two main types of textual information. Facts and Opinions

By nydia
(312 views)

Lecture 2: Programming in MATLAB CS 175: Project in AI Fall 2007

Lecture 2: Programming in MATLAB CS 175: Project in AI Fall 2007

Lecture 2: Programming in MATLAB CS 175: Project in AI Fall 2007. Professor Padhraic Smyth Department of Computer Science University of California, Irvine. Assignment 1. Assignment 1: MATLAB tutorials Euclidean distance between x and y (2 vectors)

By dara
(322 views)

A Gentle Introduction to the EM Algorithm

A Gentle Introduction to the EM Algorithm

A Gentle Introduction to the EM Algorithm. Ted Pedersen Department of Computer Science University of Minnesota Duluth tpederse@d.umn.edu. A unifying methodology. Dempster, Laird & Rubin (1977) unified many strands of apparently unrelated work under the banner of The EM Algorithm

By hali
(180 views)

VISUAL AIDS

VISUAL AIDS

VISUAL AIDS. F. D. Lewis Department of Computer Science University of Kentucky. Click for Notes. Pictures and Words. Reasoning is done well verbally Visuals hold one’s attention, so illustrate, clarify, restate, explain, and interpret with transparencies

By ace
(317 views)

Human Computer Interaction Query by Sketch

Human Computer Interaction Query by Sketch

Human Computer Interaction Query by Sketch. Chi-Ren Shyu. Department of Computer Engineering and Computer Science University of Missouri-Columbia Columbia, MO 65211, U.S.A. Query by Sketch -- an HCI topic?.

By margo
(180 views)

My Dream of Jini

My Dream of Jini

My Dream of Jini. Fabio Kon Jalal Al-Muhtadi Roy Campbell M. Dennis Mickunas f-kon@cs.uiuc.edu Department of Computer Science University of Illinois at Urbana-Champaign http://choices.cs.uiuc.edu/2K. Java, Jini, and Active Spaces. Active Spaces project at U. of Illinois

By kathryn
(174 views)

An Information-Theoretic Definition of Similarity

An Information-Theoretic Definition of Similarity

In Proc. 15th International Conf. on Machine Learning, 1998 Dekang Lin Department of Computer Science University of Manitoba Winnipeg, Manitoba, Canada R3T 2N2. An Information-Theoretic Definition of Similarity. SNU IDB Lab. Chung-soo Jang JAN 18, 2008. Content . Introduction

By lyndon
(218 views)

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