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Results for «algorithms»:


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UNIT-1 QB 100%

The fundamental steps are  Understanding the problem  Ascertain the capabilities of computational device  Choose between exact and approximate problem solving  Decide on appropriate data structures  Algorithm design techniques  Methods for specifying the algorithm  Proving an algorithms correctness  Analyzing an algorithm  Coding an algorithm State the Euclid’s algorithm for finding GCD of two given numbers.

https://www.pdf-archive.com/2017/04/02/unit-1-qb/

02/04/2017 www.pdf-archive.com

document 97%

Journal of Computer Science Review Applications of Nature-Inspired Algorithms in Different Aspects of Semantic Web 1 Deepika Chaudhary, 2Jaiteg Singh and 3D.P.

https://www.pdf-archive.com/2018/06/05/document/

05/06/2018 www.pdf-archive.com

Grad CourseDescriptions ResearchArea 97%

COMPUTER SCIENCE GRADUATE STUDIES Course Descriptions by Research Area PhD Students must Complete 4 Graduate Level courses and cover breadth in 4 Research Areas **Refer to Grad Handbook RESEARCH AREA 1 | Algorithms and Discrete Math CSC2410H Intro to Graph Theory This course covers many of the most important aspects of graph theory, including the development and analysis of algorithms for problems which arise in applications of graph theory.

https://www.pdf-archive.com/2017/07/23/grad-coursedescriptions-researcharea/

23/07/2017 www.pdf-archive.com

HW 3.1 97%

https://www.pdf-archive.com/2013/10/15/hw-3-1/

15/10/2013 www.pdf-archive.com

ucit20101110 95%

November 2010, Volume 7, No.11 (Serial No.72) Journal of Communication and Computer, ISSN 1548-7709, USA Effective Generation of Test Cases Using Genetic Algorithms and Optimization Theory Izzat Alsmadi, Faisal Alkhateeb, Eslam Al Maghayreh, Samer Samarah and Iyad Abu Doush Computer Science and Information Technology Faculty, Yarmouk University, Irbid 21163, Jordan Received:

https://www.pdf-archive.com/2011/08/13/ucit20101110/

13/08/2011 www.pdf-archive.com

ALgorithm2 95%

COS 226 Algorithms and Data Structures Princeton University Spring 2010 Robert Sedgewick Algorithms in Java, 4th Edition · Robert Sedgewick and Kevin Wayne · Copyright © 2009 · January 22, 2010 10:50:53 PM Course Overview ‣ ‣ ‣ ‣ ‣ Algorithms in Java, 4th Edition · Robert Sedgewick and Kevin Wayne outline why study algorithms?

https://www.pdf-archive.com/2011/10/21/algorithm2/

21/10/2011 www.pdf-archive.com

ontology-matching 95%

The second approach is called genetics for ontology alignments and is based on a genetic algorithm which scales better for a large number of atomic matching algorithms in the composite algorithm and is able to optimize the results of the matching process (Martinez-Gil &

https://www.pdf-archive.com/2019/01/03/ontology-matching/

03/01/2019 www.pdf-archive.com

Reverse-Ontology-Matching 94%

There are hundreds of algorithms to match ontologies, and everything indicates that more algorithms will appear.

https://www.pdf-archive.com/2018/05/22/reverse-ontology-matching/

22/05/2018 www.pdf-archive.com

05209103 94%

These algorithms are categorized as supervised discretization method and unsupervised discretization method based on whether it uses class information or not.

https://www.pdf-archive.com/2017/10/20/05209103/

20/10/2017 www.pdf-archive.com

Deep Learning 93%

5 Mac Machine hine Learning Basics 5.1 Learning Algorithms .

https://www.pdf-archive.com/2016/04/07/deep-learning/

07/04/2016 www.pdf-archive.com

genetic algorithms paper 93%

USI G GE ETIC ALGORITHMS FOR TEST CASE GE ERATIO A D SELECTIO OPTIMIZATIO Izzat Alsmadi Yarmouk University ABSTRACT Genetic Algorithms (GAs) are adaptive search techniques that imitate the processes of evolution to solve optimization problems when traditional methods are considered too costly in terms of processing time and output effectiveness.

https://www.pdf-archive.com/2011/09/08/genetic-algorithms-paper/

08/09/2011 www.pdf-archive.com

Resume 93%

I have coded my implementations of many algorithms and data structures.

https://www.pdf-archive.com/2016/02/09/resume/

09/02/2016 www.pdf-archive.com

MBtree paper 93%

Previous algorithms assume a constant quantizer in each frame and rely on impractically slow approaches, such as repeatedly encoding each frame dozens of times.

https://www.pdf-archive.com/2014/07/08/mbtree-paper/

08/07/2014 www.pdf-archive.com

main 93%

Network Selection Algorithms for Multi-Homed mobile Terminals in a Heterogeneous Network Using Utility-based MADM and Mobile Terminal Movement Prediction by Jiamo Liu Prepared for O.

https://www.pdf-archive.com/2017/02/02/main/

02/02/2017 www.pdf-archive.com

Applied Statistics - Dehar Hamdaoui Lecocq Sitbon 93%

Applied Statistics Sitbon Pascal Dehar Madjer Hamdaoui Amine Lecocq Thomas Machine learning algorithms applied to insult detection in online forums ENSAE Paris Tech 2013-2014 1 Sitbon Pascal Dehar Madjer Hamdaoui Amine Lecocq Thomas Applied Statistics MACHINE LEARNING ALGORITHMS APPLIED TO INSULT DETECTION IN ONLINE FORUMS Contents INTRODUCTION.........................................................................................................3 I) OPTIMIZATION IN LEARNING ...............................................................................3 A) Descriptive statistics ...............................................................................................................................

https://www.pdf-archive.com/2014/05/08/applied-statistics-dehar-hamdaoui-lecocq-sitbon/

08/05/2014 www.pdf-archive.com

Rubik’s Cube Beginners Solution 92%

     R’ U’ R’ U’ R’ (U R U R)   Then  do  one  of  the  algorithms   depending  on  where  the  edge  needs  to     go  (note  the  rather  EPIC  arrows)       R U R U R (U’ R’ U’ R’) Notice  that  the  corner  algorithm  from   step  2  is  right  in  the  middle  of  this   algorithm!

https://www.pdf-archive.com/2011/03/23/rubik-s-cube-beginners-solution/

23/03/2011 www.pdf-archive.com

TesiLucaVicenzotti 92%

Computer Vision is well suitable for this performance boost because most of its typical algorithms can be split in independent procedures which can be processed simultaneously.

https://www.pdf-archive.com/2011/04/05/tesilucavicenzotti-1/

05/04/2011 www.pdf-archive.com

Summary Note - Dehar Hamdaoui Lecocq Sitbon 92%

Machine learning algorithms applied to insult detection in online forums Summary Note The automated categorization of texts into predefined categories has been experiencing a booming interest in the last decades because of the huge development of the Internet –it includes the increasing of document on digital form, social networks like Facebook or Twitter and so on.

https://www.pdf-archive.com/2014/05/08/summary-note-dehar-hamdaoui-lecocq-sitbon/

08/05/2014 www.pdf-archive.com

week3 92%

Assignment Week 3:

https://www.pdf-archive.com/2016/02/20/week3/

20/02/2016 www.pdf-archive.com

scipaper 92%

radix-join [12], prefetching-based hash join [13] or algorithms based on blocking, loop fusion and preliminary extraction [4].

https://www.pdf-archive.com/2017/02/28/scipaper/

28/02/2017 www.pdf-archive.com