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Instances published presentations and documents on DocSlides.

Welcome Back! “Bad reasoning as well as good reasoning is possible; and this fact is the foundati
Welcome Back! “Bad reasoning as well as good reasoning is possible; and this fact is the foundati
by giovanna-bartolotta
- Charles Sanders Peirce. On the Radar. Researchi...
Crowdsourcing High Quality Labels with a Tight Budget
Crowdsourcing High Quality Labels with a Tight Budget
by myesha-ticknor
 . Qi Li. 1. , . Fenglong. Ma. 1. , Jing Gao. 1...
How Hard Can It Be? Tractable versus Intractability
How Hard Can It Be? Tractable versus Intractability
by sherrill-nordquist
Given an algorithm A that solves a problem.. If t...
Crowdsourcing High Quality Labels with a Tight Budget
Crowdsourcing High Quality Labels with a Tight Budget
by celsa-spraggs
 . Qi Li. 1. , . Fenglong. Ma. 1. , Jing Gao. 1...
Proteus: agile ML elasticity through tiered reliability in dynamic resource markets
Proteus: agile ML elasticity through tiered reliability in dynamic resource markets
by conchita-marotz
Aaron Harlap, Alexey Tumanov*, . Andrew Chung, Gr...
A Closer Look at SoftLayer,
A Closer Look at SoftLayer,
by min-jolicoeur
an IBM Company. A global hosting leader. Top 100,...
The Effects of Cashtags in Predicting Daily DJIA Directional Change
The Effects of Cashtags in Predicting Daily DJIA Directional Change
by karlyn-bohler
By: Vincent Chee. Advisor: Professor Aaron Cass. ...
7: Deadlocks 1 Jerry Breecher
7: Deadlocks 1 Jerry Breecher
by jane-oiler
OPERATING SYSTEMS . DEADLOCKS. 7: Deadlocks. 2. W...
Deadlocks G.Anuradha Ref:- Galvin
Deadlocks G.Anuradha Ref:- Galvin
by danika-pritchard
Objectives. To develop a description of deadlocks...
Microsoft Azure Platform
Microsoft Azure Platform
by conchita-marotz
Technical Overview. 2014-9-6. Bill Zack. Cloud Te...
Search Query Log Analysis
Search Query Log Analysis
by tatiana-dople
Kristina . Lerman. What can we learn from web sea...
Lecture Set 3 Introduction to Visual Basic Concepts
Lecture Set 3 Introduction to Visual Basic Concepts
by liane-varnes
Part A – User Interfaces and Windows Forms – ...
Eucalyptus on FutureGrid:
Eucalyptus on FutureGrid:
by cheryl-pisano
A case for Eucalyptus 3. Sharif Islam, Javier Dia...
Dynamically Scaling Applications in the Cloud
Dynamically Scaling Applications in the Cloud
by jane-oiler
Presented by Paul. Problem. The cloud offers. Nea...
Construct Validity And its Threats
Construct Validity And its Threats
by aaron
Jill Hoxmeier. H615: Advanced Research Design. Oc...
Christopher Chapman | MCT
Christopher Chapman | MCT
by cheryl-pisano
Content PM, Microsoft Learning, PDG Planning , Mi...
Anytime Anyspace AND/OR Search for Bounding the Partition Function
Anytime Anyspace AND/OR Search for Bounding the Partition Function
by debby-jeon
Qi Lou, Rina . Dechter. , Alexander . Ihler. Feb....
Chapter 13 (Online): Object-Oriented Data Modeling
Chapter 13 (Online): Object-Oriented Data Modeling
by marina-yarberry
© . 2013 . Pearson Education, Inc.  Publishing ...
Tributary: spot-dancing for elastic services with latency SLOs
Tributary: spot-dancing for elastic services with latency SLOs
by alida-meadow
Aaron Harlap, Andrew Chung, . Alexey Tumanov*, Gr...
Search Query Log Analysis
Search Query Log Analysis
by olivia-moreira
Kristina . Lerman. What can we learn from web sea...
Trends in Drug Use Trends in Drug Use
Trends in Drug Use Trends in Drug Use
by pamella-moone
Where do drugs in Illinois come from? . Illinois ...
Windows Azure Web Sites
Windows Azure Web Sites
by alida-meadow
Name. Title. Organization. Web Sites in Perspecti...
Rapid Training of Information Extraction with Local and Global Data Views
Rapid Training of Information Extraction with Local and Global Data Views
by conchita-marotz
Dissertation Defense. Ang. Sun. Computer Science...
Class 22 Fall, 2017 IM
Class 22 Fall, 2017 IM
by karlyn-bohler
450. DRM. drm. technological protection measures ...
Tie break University of Tokyo
Tie break University of Tokyo
by yoshiko-marsland
Seongsoo. Moon. Lists of solvers. Sequential sol...
Based on Powerpoint slides by Gunter
Based on Powerpoint slides by Gunter
by giovanna-bartolotta
Mussbacher. , . Gregor. v. . Bochmann. , . with ...
On the Unreasonable E ffectiveness of
On the Unreasonable E ffectiveness of
by calandra-battersby
B. oolean SAT Solvers. Ed Zulkoski. in collaborat...
NeCTAR Training Module 6
NeCTAR Training Module 6
by karlyn-bohler
Resource requirements for computing and storage. ...
Data Modeling
Data Modeling
by alexa-scheidler
Man is a knot, a web, a mesh into which relations...
Number or Nuance:
Number or Nuance:
by phoebe-click
Factors Affecting Reliable Word Sense Annotation....
Question 11
Question 11
by yoshiko-marsland
Attribute inheritance is the gaining of attribute...
Ontology learning and population from from text
Ontology learning and population from from text
by natalia-silvester
Ch8 Population. Population. Population of ontolog...
http://cs273a.stanford.edu [BejeranoFall15/16]
http://cs273a.stanford.edu [BejeranoFall15/16]
by lindy-dunigan
1. MW  . 1:30-2:50pm . in . Clark . S361*. (beh...
Performance Anomalies Within The Cloud
Performance Anomalies Within The Cloud
by luanne-stotts
1. This slide includes content from slides by . V...
E fficient
E fficient
by giovanna-bartolotta
. SAT . S. olving. u. nder. A. ssumptions. Ale...
CL Research ACL 2014
CL Research ACL 2014
by conchita-marotz
1. Pattern Dictionary of English Prepositions. (P...
Predicting zero-day software vulnerabilities through data-m
Predicting zero-day software vulnerabilities through data-m
by stefany-barnette
--Third Presentation. Su Zhang. 1. Outline. Quick...
La escuela
La escuela
by giovanna-bartolotta
de los . padres. La participation des parents à...
ADL aspects of
ADL aspects of
by pamella-moone
AEmilia. Dipartimento. . di. . Dipartimento di ...
Machine Learning 10-601
Machine Learning 10-601
by ellena-manuel
Tom M. Mitchell. Machine Learning Department. Car...