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Optimum Instance published presentations and documents on DocSlides.

Gabe Shelton

Gabe Shelton

  • natalia-silvester
  • 28 Slides

Word of the day. Concur. to accord in opinion. Il...

Parameterised Complexity

Parameterised Complexity

  • calandra-battersby
  • 29 Slides

Algorithms. and Networks 2016/2017. Johan M. M. ...

Introduction to Ontology

Introduction to Ontology

  • briana-ranney
  • 34 Slides

Mohammed Alshayeb. March 3. rd. , 2011. Outlines....

You can never understand configuration management,

You can never understand configuration management,

  • danika-pritchard
  • 21 Slides

until . you know how to orchestrate it. @ Buchare...

Common Sense Reasoning

Common Sense Reasoning

  • test
  • 19 Slides

Humans use their common sense all the time. what ...

CSE341: Programming Languages

CSE341: Programming Languages

  • aaron
  • 15 Slides

Introduction To Ruby; Dynamic OOP; "Duck Typing"....

Advanced Database Analysis

Advanced Database Analysis

  • tawny-fly
  • 31 Slides

Modern Database Management. 10. th. Edition, Int...

Biomedical Ontology

Biomedical Ontology

  • stefany-barnette
  • 36 Slides

PHI 548 / BMI 508. Werner Ceusters . and Barry Sm...

CS 678 - Ensembles and Bayes

CS 678 - Ensembles and Bayes

  • giovanna-bartolotta
  • 17 Slides

1. Semi-Supervised Learning. Can we improve the q...

Parameterized Algorithms

Parameterized Algorithms

  • stefany-barnette
  • 48 Slides

The Basics. Bart . M. P. . Jansen. Insert. «. Ac...

Open-Source Multi-Purpose

Open-Source Multi-Purpose

  • stefany-barnette
  • 25 Slides

Leaf-Spine Fabric. Saurav Das. Open-Source Multi-...

PyWBEM

PyWBEM

  • natalia-silvester
  • 28 Slides

Python WBEM Client: . Overview. Karl Schopmeyer....

OBJECT-ORIENTED PROGRAMMING CONCEPTS

OBJECT-ORIENTED PROGRAMMING CONCEPTS

  • celsa-spraggs
  • 12 Slides

(Review). What . is . an Object?. Objects have st...

CSE 8A Lecture

CSE 8A Lecture

  • phoebe-click
  • 24 Slides

19. Reading for next class: . Review!. Today’s ...

Time Constraints and Types of Tasks

Time Constraints and Types of Tasks

  • faustina-dinatale
  • 27 Slides

By. Dr. Amin Danial Asham. References. Real-time ...

COMP 110-001

COMP 110-001

  • myesha-ticknor
  • 24 Slides

Information Hiding and Encapsulation. Yi Hong. Ju...

Object-Oriented Programming Concepts

Object-Oriented Programming Concepts

  • faustina-dinatale
  • 24 Slides

By: . Junta . Zeniarja. Content. Evolution of Pro...

Guest lecture II: Amos Fiat’s

Guest lecture II: Amos Fiat’s

  • min-jolicoeur
  • 60 Slides

Social Networks class . Edith Cohen. TAU, Decembe...

Abstract Model PWD 2.0

Abstract Model PWD 2.0

  • aaron
  • 42 Slides

16th . Eurofiling. Workshop . 12 December 2012. ...

Intro to Design Patterns

Intro to Design Patterns

  • yoshiko-marsland
  • 37 Slides

SENG 301. Learning Objectives. By the end of this...

Distributed Crime Reporting System

Distributed Crime Reporting System

  • trish-goza
  • 7 Slides

Arjun . Bhadra. . Rishabh. Shah . Soumya. Mish...

Inheritance (Part

Inheritance (Part

  • alexa-scheidler
  • 25 Slides

5) . Odds and ends. 1. Static Methods and Inherit...

Creative Commons Attribution

Creative Commons Attribution

  • marina-yarberry
  • 20 Slides

Non-Commercial Share Alike License. http://creati...

E fficient

E fficient

  • giovanna-bartolotta
  • 45 Slides

. SAT . S. olving. u. nder. A. ssumptions. Ale...

Hardness of Robust Graph Isomorphism,

Hardness of Robust Graph Isomorphism,

  • tatiana-dople
  • 297 Slides

Lasserre. Gaps,. and Asymmetry of Random Graphs....

Windows Azure Overview

Windows Azure Overview

  • pamella-moone
  • 27 Slides

Name. Title . Microsoft Corporation. What is the ...

Tuning SQL Server for

Tuning SQL Server for

  • debby-jeon
  • 15 Slides

SharePoint Jump Start. Bill Baer | Senior Product...

Nearest Neighbors

Nearest Neighbors

  • trish-goza
  • 36 Slides

CSC 600: Data Mining. Class 16. Today…. Measure...

XML & UBL

XML & UBL

  • tatyana-admore
  • 25 Slides

ACG 4401 Chapter 2. 1. Extensible Markup Language...

Idiomatic Expressions

Idiomatic Expressions

  • sherrill-nordquist
  • 7 Slides

Vocabulary. Skylar Endres. Iesha Byrden. Ebonique...

Delegates and lambda functions

Delegates and lambda functions

  • olivia-moreira
  • 17 Slides

Jim Warren, jim@cs.auckland.ac.nz. COMPSCI 280 . ...

SportSuite Forms – Email Invitations

SportSuite Forms – Email Invitations

  • tawny-fly
  • 14 Slides

Tuesday 13. th. June 2017. What is an email invi...

Extended Nested Dual System Groups, Revisited

Extended Nested Dual System Groups, Revisited

  • phoebe-click
  • 25 Slides

Junqing. Gong . Shanghai Jiao Tong University. J...

Multi-Local Feature Manifolds for Object Detection

Multi-Local Feature Manifolds for Object Detection

  • min-jolicoeur
  • 30 Slides

Oscar . Danielsson. (osda02@csc.kth.se). Stefan ...

Data Mining Essentials

Data Mining Essentials

  • olivia-moreira
  • 84 Slides

S. OCIAL. M. EDIA. M. INING. Dear instructors/...

An Introduction to Monads

An Introduction to Monads

  • trish-goza
  • 60 Slides

COMP150PLD. Reading: . “. Monads for functional...

Tree Automata for Reasoning in Databases and Artificial Int

Tree Automata for Reasoning in Databases and Artificial Int

  • tawny-fly
  • 44 Slides

Pierre Bourhis . CNRS . CRIStAL. , Equipe LINKS....

MA/CSSE 473 Day 38

MA/CSSE 473 Day 38

  • myesha-ticknor
  • 32 Slides

Problems. Decision Problems. P and NP. Intro to c...

Question 11

Question 11

  • yoshiko-marsland
  • 3 Slides

Attribute inheritance is the gaining of attribute...

Ontology learning and population from from text

Ontology learning and population from from text

  • natalia-silvester
  • 30 Slides

Ch8 Population. Population. Population of ontolog...

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