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IFPUG Banner Contest

IFPUG Banner Contest

  • tatyana-admore
  • 23 Slides

Submissions. As of 5/31/2013. 1. Submitted by . D...

Please make this a banner 1.3m long and about 12 cm deep an

Please make this a banner 1.3m long and about 12 cm deep an

  • briana-ranney
  • 19 Slides

BUILDING CONSUMER CONFIDENCE IN GENERIC MEDICINES...

Generating Query Substitutions

Generating Query Substitutions

  • pasty-toler
  • 24 Slides

Alicia Wood. What is the . problem. to be solved...

Encodings of Range Maximum-Sum Segment Queries and Applicat

Encodings of Range Maximum-Sum Segment Queries and Applicat

  • alexa-scheidler
  • 50 Slides

Pawe. ł. . Gawrychowski. * and . Pat Nicholson*...

Encoding Nearest Larger Values

Encoding Nearest Larger Values

  • lindy-dunigan
  • 31 Slides

Pat Nicholson* and Rajeev Raman**. *. MPII. ** . ...

Enabling Search for Facts and

Enabling Search for Facts and

  • tatiana-dople
  • 28 Slides

Implied Facts in Historical Documents. David W. E...

SWIMs

SWIMs

  • mitsue-stanley
  • 26 Slides

: . From . Structured Summaries to Integrated Kno...

Homework 5 Hints

Homework 5 Hints

  • trish-goza
  • 25 Slides

Read!. Please Read pages . 68-70 . before complet...

Random Genetic Drift

Random Genetic Drift

  • briana-ranney
  • 32 Slides

Selection. Allele frequency. 0. 100. advantageous...

Web Tailor Basics

Web Tailor Basics

  • natalia-silvester
  • 31 Slides

Web Tailor Overview. Banner . Web Tailor lets you...

SilverLine:

SilverLine:

  • olivia-moreira
  • 29 Slides

Preventing Data Leaks from. Compromised Web Appli...

Accelerating Mobile Applications

Accelerating Mobile Applications

  • tatyana-admore
  • 27 Slides

through Flip-Flop Replication. Mark . Gordon, Dav...

Efficient Type-Ahead Search on Relational Data:

Efficient Type-Ahead Search on Relational Data:

  • olivia-moreira
  • 38 Slides

a TASTIER Approach. Guoliang. Li. 1. , . Shengyu...

Hinrich

Hinrich

  • phoebe-click
  • 67 Slides

. Schütze. and Christina . Lioma. Lecture 9: R...

I Want It Now!: Query Theory Explains Discounting Anomalies

I Want It Now!: Query Theory Explains Discounting Anomalies

  • alida-meadow
  • 41 Slides

and. Losses. Kirstin C. . Appelt. 1. David J. . ...

Extensible Distributed Tracing from Kernels to Clusters

Extensible Distributed Tracing from Kernels to Clusters

  • ellena-manuel
  • 39 Slides

Úlfar Erlingsson, Google Inc.. Marcus . Peinado....

Indexing Trajectory Data

Indexing Trajectory Data

  • alexa-scheidler
  • 17 Slides

--Presented By . Sudheer. . Chelluboina. .. Prof...

Search in Transliterated Space

Search in Transliterated Space

  • sherrill-nordquist
  • 21 Slides

Shared Task Proposal, FIRE 2012. Monojit Choudhur...

Unit 4

Unit 4

  • giovanna-bartolotta
  • 70 Slides

Relational Algebra (Using SQL DML Syntax):. Data ...

Exploring Web Scale Language Models for Search Query Proces

Exploring Web Scale Language Models for Search Query Proces

  • lindy-dunigan
  • 51 Slides

Jianfeng Gao, MSR. (Joint work with . Jian. Huan...

Security Trimming for

Security Trimming for

  • alida-meadow
  • 39 Slides

Search in SharePoint 2013 . Morgan Larsson ...

Banner Hosting

Banner Hosting

  • min-jolicoeur
  • 25 Slides

UNC General Administration. Information Resources...

Managing Microsoft SQL Server:

Managing Microsoft SQL Server:

  • marina-yarberry
  • 38 Slides

For the “Reluctant” DBA. Don Jones. Senior Pa...

Effectively Indexing Uncertain Moving Objects for Predictiv

Effectively Indexing Uncertain Moving Objects for Predictiv

  • tatiana-dople
  • 34 Slides

School of Computing. National University of Singa...

Streaming Algorithm

Streaming Algorithm

  • ellena-manuel
  • 83 Slides

Presented by: Group 7. Advanced Algorithm. Nation...

RAProp

RAProp

  • myesha-ticknor
  • 62 Slides

: Ranking Tweets by Exploiting the Tweet/User/Web...

Cooperative XML Answering

Cooperative XML Answering

  • danika-pritchard
  • 43 Slides

By. Wesley.W.Chu and Shaorong Liu. Aditya Chintal...

An introduction to Logic Programming

An introduction to Logic Programming

  • alida-meadow
  • 112 Slides

Chapter 6. So far…. The computational process w...

Spelling correction as an iterative process that exploits t

Spelling correction as an iterative process that exploits t

  • mitsue-stanley
  • 15 Slides

Silviu. . Cucerzan. and Eric Brill. July, 2004....

Hinrich

Hinrich

  • phoebe-click
  • 64 Slides

. Schütze. and Christina . Lioma. Lecture 2: T...

A Survey Based Seminar:

A Survey Based Seminar:

  • danika-pritchard
  • 35 Slides

Data Cleaning & Uncertain Data Management. Sp...

Spatial and Spatio-temporal

Spatial and Spatio-temporal

  • yoshiko-marsland
  • 52 Slides

Data Uncertainty: . Modeling and Querying. Mohame...

Monthly Fund Reviews

Monthly Fund Reviews

  • olivia-moreira
  • 13 Slides

One of the duties of an accountable officer is to...

WITSML

WITSML

  • tawny-fly
  • 13 Slides

Update. Presentation to . Energistics. . Regiona...

IR for Web Pages

IR for Web Pages

  • celsa-spraggs
  • 108 Slides

“I’m not sure Google is a rational business t...

LING 388: Language and Computers

LING 388: Language and Computers

  • luanne-stotts
  • 36 Slides

Sandiway Fong. Lecture . 4. Administrivia. Today...

Unifying Data and Domain Knowledge Using Virtual Views

Unifying Data and Domain Knowledge Using Virtual Views

  • tawny-fly
  • 44 Slides

Lipyeow. Lim. IBM T.J. Watson Research . Ctr. Ha...

Text processing

Text processing

  • alida-meadow
  • 102 Slides

Team 3. 김승곤 박지웅 엄태건 최지헌 ...

TREC Session Track

TREC Session Track

  • yoshiko-marsland
  • 16 Slides

Ben . Carterette. Paul Clough. Evangelos. . Kano...

Vocabulary Lesson 9

Vocabulary Lesson 9

  • danika-pritchard
  • 17 Slides

8. th. Grade. influx. intricate. memento. query....

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