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1. Algorithms from Machine Learning

Algorithms from Machine Learning interesting for CAPRI by Wolfgang Britz September 2011 Inhalt Bac NN hrc errs cate secon nsec cio rcv egies E neve noveanasnesedensnosuaaeeeosis 1 Using the CAPRI exploitation tools for systematic results ANALYSIS ccccsseecccesseccceesscceeeeseceseeeeceeseees 2 Macnee NODS ee A E 2 Hapee aO CAPR nema eteeee seinen N R See eT ee ee eee 3 Interaction between CAPRI GUI ANd WEKA cccccccceceesssseeeeccceesaeeeseeeccc
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1. Algorithms from Machine Learning

Algorithms from Machine Learning interesting for CAPRI by Wolfgang Britz September 2011 Inhalt Bac NN hrc errs cate secon nsec cio rcv egies E neve noveanasnesedensnosuaaeeeosis 1 Using the CAPRI exploitation tools for systematic results ANALYSIS ccccsseecccesseccceesscceeeeseceseeeeceeseees 2 Macnee NODS ee A E 2 Hapee aO CAPR nema eteeee seinen N R See eT ee ee eee 3 Interaction between CAPRI GUI ANd WEKA cccccccceceesssseeeeccceesaeeeseeeccc
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2. Algorithms for Mapping and Scheduling Real-Time

Czech Technical University in Prague Faculty of Electrical Engineering Department of Computer Graphics and Interaction DIPLOMA THESIS ASSIGNMENT Student Bc Jakub Kop iva Study programme Open Informatics Specialisation Software Engineering Title of Diploma Thesis Algorithms for Mapping and Scheduling Real Time Streaming Applications on Heterogeneous Multi core Platforms Guidelines This assignment addresses mapping of streaming applications on multi core systems
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3. 1992-Comparison of Three Algorithms for Ensuring Serializable

From AAAI 92 Proceedings Copyright 1992 AAAI www aaai org All rights reserved Comparison of Three Algorithms for Ensuring Serializable Executions in Parallel Production Systems James G Schmolze Department of Computer Science Tufts University Medford MA 02155 USA Email schmolze es tufts edu Abstract To speed up production systems researchers have developed parallel algorithms that execute multiple instantiations simultaneously Unfor tunately without specia
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4. The LEAPS Algorithms - Department of Computer Science

The LEAPS Algorithms Don Batory Department of Computer Sciences The University of Texas Austin Texas 78712 Abstract LEAPS is a state of the art production system compiler that produces the fastest sequential execut ables of OPS5 rule sets The performance of LEAPS is due to its reliance on complex data struc tures and search algorithms to speed rule processing In this paper we explain the LEAPS algorithms in terms of the programming abstractions of the P2 data structure
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5. Improved Algorithms for the Global Cardinality Constraint

Improved Algorithms for the Global Cardinality Constraint Claude Guy Quimper Alejandro L pez Ortiz Peter van Beek and Alexander Golynski University of Waterloo Waterloo Canada Abstract We study the global cardinality constraint gcc and pro pose an O n d algorithm for domain consistency and an O cn dn algorithm for range consistency where n is the number of variables d the number of values in the domain and c an output dependent vari able smaller than or eq
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6. Optimization Algorithms in School Scheduling Programs: Study

Informatics in Education 2009 Vol 8 No 1 69 84 69 2009 Institute of Mathematics and Informatics Vilnius Optimization Algorithms in School Scheduling Programs Study Analysis and Results Lina PUPEIKIENE Institute of Mathematic and Informatics Akademijos 4 LT 08663 Vilnius e mail linapupe O gmail com Denis STRUKOV Vilnius Gediminas Technical University Saul tekio al 11 424 SRL I LT 10223 Vilnius e mail dstrukov gmail com Vytenis BIVAINIS Kaunas Un
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7. ADVANCED CONTROL ALGORITHMS + SIMULINK

ADVANCED CONTROL ALGORITHMS SIMULINK COMPATIBILITY REAL TIME OS REX Pavel Balda Milos Schlegel Milan St tina University of West Bohemia in Pilsen Department of Cybernetics Univerzitn 8 306 14 Plze Czech Republic e mail pbalda kky zcu cz Abstract This paper describes the structure and features of a new industrial control system called REX During the system design special attention was paid to the simulation facility of the control algorithms The equival
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8. Title: Low Complexity Pruning FFT Algorithms Theme: DSP

f amp AALBORG UNIVERSITET Title Low Complexity Pruning FFT Algorithms Theme DSP Algorithms and Architectures Project period E8 Spring term 2008 Project group 840 Participants Mads Lauridsen Matthieu Noko Niels Lovmand Pedersen Supervisor Anders B Olsen Jesper M Kristensen Copies 6 Number of pages 141 Attachment CD Finished June 2nd 2008 The content of this report is freely accessible though publication with reference may only occu
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9. User Manual - Numerical Algorithms Group

Statistical Add Ins for Excel User Guide Statistical Add Ins for Excel User Guide The Numerical Algorithms Group Limited 2000 All rights reserved No part of this manual may be reproduced transcribed stored in a retrieval system translated into any language or computer language or transmitted in any form or by any means electronic mechanical photocopying recording or otherwise without the prior written permission of the copyright owner The copyright ow
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10. Heuristic Algorithms for NP

Heuristic Algorithms for NP Complete Problems Thomas V Christensen Supervisor Paul Fischer Kongens Lyngby 2007 IMM BSc 2007 12 Technical University of Denmark Informatics and Mathematical Modelling Building 321 DK 2800 Kongens Lyngby Denmark Phone 45 45253351 Fax 45 45882673 reception imm dtu dk www imm dtu dk Summary I have implemented a small framework of NP complete problems in Java where it is possible to transform instances of one NP Complete proble
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11. Troubleshooting using Cost Effective Algorithms and

Troubleshooting using Cost Effective Algorithms and Bayesian Networks THOMAS GUSTAVSSON Masters Degree Project Stockholm Sweden Dec 2006 XR EE RT 2007 002 Abstract As the heavy duty truck market becomes more competitive the importance of quick and cheap repairs increases However to find and repair the faulty component constitutes cumbersome and expensive work and it is not uncommon that the trou bleshooting process results in unnecessary expenses To repa
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12. Chapter 3 Algorithms Design

Chapter 3 Algorithms Design An exact algorithm that uses a branch and bound technique was implemented to solve the set covering problem Two polynomial algorithms were also designed and tested In this chapter design of these algorithms will be presented A DLV specification will be presented in the first section The exact algorithm will be explained in Section 3 2 Next two sections detail main ideas about the polynomial algorithms The first polynomial algorithm uses a greedy
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13. Sequence Alignment Algorithms

SUMMARY Nucleotide sequence alignment is a useful comparison technique that detects existing mutations in the DNA sequences While some mutations are silent mutations that pose no harm to an individual others that occur in the coding regions of the DNA could very well predispose humans to diseases In Dr Robert Hegele s Blackburn Cardiovascular Genetics Laboratory at Robarts Research Institute RRI nucleotide sequence alignment is carried out to detect single nucleotide polymo
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14. GALOPPS - Genetic Algorithms Research and Applications Group

AN INTRODUCTION TO GALOPPS The Genetic ALgorithm Optimized for Portability and Parallelism System c Michigan State University 1993 1994 1995 1996 RELEASE 3 2 July 31 1996 Obsoleting GALOPPS Releases 2 05 3 02 and ESGA IPGA Releases 1 0 2 05 Written by Erik D Goodman Professor and Co Director MSU Genetic Algorithm Research and Applications Group GARAGe Intelligent Systems Laboratory Dept of Computer Science and Case Center for Computer Aided Eng
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15. Some Useful Lisp Algorithms: Part 1

MITSUBISHI ELECTRIC RESEARCH LABORATORIES http www merl com Some Useful Lisp Algorithms Part 1 Richard C Waters TR91 04 December 1991 Abstract Richard C Waters Chapter 3 Implementing Queues in Lisp co authored by P Norvig presents several different algorithms for implementing queues in Lisp It discusses why the obvious list based implementation of queues is inefficient and the particular situations where more complex implementations are appropriate This work
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16. PRISE 2.0 User Manual - Algorithms and Computational Biology Lab

PRISE 2 0 User Manual UC Riverside January 2012 Table of Contents 1 General Information 1 1 System requirements 1 2 Overview of the design process 1 3 Starting the program 2 Step 1 1 Identify Seed Sequences and Create Hit Table 2 1 Overview 2 2 Create hit table using NCBI blast website 2 3 Create hit table by local BLAST application and database 3 Step 1 2 Select Target and Non target Sequences 3 1 Using the module 3 2 File menu 3 3 Mark Unmark menu 3 4 Move
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