PDF export of the proceedings list

Report on Recent Scientific Applications of Self-Organizing Migration Algorithm

Report on Recent Scientific Applications of Self-Organizing Migration Algorithm TOMÁŠ HORÁK 1, NICOS MASTORAKIS 2, MARTINA LÁNSKÁ 3 1,3 Faculty of Transportation Sciences Czech Technical University in

New Approach of Constant Resolving of Analytical Programming

New Approach of Constant Resolving of Analytical Programming Tomas Urbanek Zdenka Prokopova Radek Silhavy Ales Kuncar Department of Computer and Communication Systems Tomas Bata University in Zlin Nad

A Computation Time Comparison of Self-Organising Migrating Algorithm in Java and C#

A Computation Time Comparison of Self-Organising Migrating Algorithm in Java and C# JAN KOLEK 1, PAVEL VAŘACHA 2, ROMAN JAŠEK 3 Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G..Masaryka

Innovative Strategy of SOMA Control Parameter Setting

Innovative Strategy of SOMA Control Parameter Setting PAVEL VAŘACHA Tomas Bata University in Zlin Faculty of Applied Informatics nam. T.G. Masaryka 5555, 76 1 Zlin CZECH REPUBLIC varacha@fai.utb.cz http://www.fai.utb.cz

Lap. Lap Tm 2: : : : : :05: : : : : : p p12

p 0 p () Andreas Jochum p p () Miroslav Sloboda p () Norbert Braun p 0 p () Martin Kolek p () Juraj Knezovic p p0 () Martin Kříž :. :. :.0 :. :. :0:. :. :.0 :. :. :.0 :. :.00 :. :. :. :.0 :. :. :. :. :.

CT79 SOFT COMPUTING ALCCS-FEB 2014

Q.1 a. Define Union, Intersection and complement operations of Fuzzy sets. For fuzzy sets A and B Figure Fuzzy sets A & B The union of two fuzzy sets A and B is a fuzzy set C, written as C=AUB or C=A OR

Study on the Development of Complex Network for Evolutionary and Swarm based Algorithms

Study on the Development of Complex Network for Evolutionary and Swarm based Algorithms 1 Roman Senkerik, 2 Ivan Zelinka, 1 Michal Pluhacek and 1 Adam Viktorin 1 Tomas Bata University in Zlin, Faculty

Model Parameter Estimation

Model Parameter Estimation Shan He School for Computational Science University of Birmingham Module 06-23836: Computational Modelling with MATLAB Outline Outline of Topics Concepts about model parameter

Artificial bee colony algorithm with multiple onlookers for constrained optimization problems

Artificial bee colony algorithm with multiple onlookers for constrained optimization problems Milos Subotic Faculty of Computer Science University Megatrend Belgrade Bulevar umetnosti 29 SERBIA milos.subotic@gmail.com

Homeomorphism with zero jacobian: Sharp integrability of the derivative

Robert Èerný Homeomorphism with zero jacobian: Sharp integrability of the derivative MATH-KMA-2010/328 April 2010 Submitted Department of Mathematical Analysis, Faculty of Mathematics and Physics, Charles

Intelligent Control. 4^ Springer. A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms. Nazmul Siddique.

Nazmul Siddique Intelligent Control A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms Foreword by Bernard Widrow 4^ Springer Contents 1 Introduction 1 1.1 Intelligent Control

Advances in Military Technology Vol. 11, No. 1, June Influence of State Space Topology on Parameter Identification Based on PSO Method

AiMT Advances in Military Technology Vol. 11, No. 1, June 16 Influence of State Space Topology on Parameter Identification Based on PSO Method M. Dub 1* and A. Štefek 1 Department of Aircraft Electrical

Using CODEQ to Train Feed-forward Neural Networks

Using CODEQ to Train Feed-forward Neural Networks Mahamed G. H. Omran 1 and Faisal al-adwani 2 1 Department of Computer Science, Gulf University for Science and Technology, Kuwait, Kuwait omran.m@gust.edu.kw

^ Springer. Computational Intelligence. A Methodological Introduction. Rudolf Kruse Christian Borgelt. Matthias Steinbrecher Pascal Held

Rudolf Kruse Christian Borgelt Frank Klawonn Christian Moewes Matthias Steinbrecher Pascal Held Computational Intelligence A Methodological Introduction ^ Springer Contents 1 Introduction 1 1.1 Intelligent

CHAPTER 2 CONVENTIONAL AND NON-CONVENTIONAL TECHNIQUES TO SOLVE ORPD PROBLEM

20 CHAPTER 2 CONVENTIONAL AND NON-CONVENTIONAL TECHNIQUES TO SOLVE ORPD PROBLEM 2.1 CLASSIFICATION OF CONVENTIONAL TECHNIQUES Classical optimization methods can be classified into two distinct groups:

Meta- Heuristic based Optimization Algorithms: A Comparative Study of Genetic Algorithm and Particle Swarm Optimization

2017 2 nd International Electrical Engineering Conference (IEEC 2017) May. 19 th -20 th, 2017 at IEP Centre, Karachi, Pakistan Meta- Heuristic based Optimization Algorithms: A Comparative Study of Genetic

Research Article Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding

e Scientific World Journal, Article ID 746260, 8 pages http://dx.doi.org/10.1155/2014/746260 Research Article Path Planning Using a Hybrid Evolutionary Algorithm Based on Tree Structure Encoding Ming-Yi

JAVA Projects. 1. Enforcing Multitenancy for Cloud Computing Environments (IEEE 2012).

JAVA Projects I. IEEE based on CLOUD COMPUTING 1. Enforcing Multitenancy for Cloud Computing Environments 2. Practical Detection of Spammers and Content Promoters in Online Video Sharing Systems 3. An

ARTIFICIAL INTELLIGENCE (CSCU9YE ) LECTURE 5: EVOLUTIONARY ALGORITHMS

ARTIFICIAL INTELLIGENCE (CSCU9YE ) LECTURE 5: EVOLUTIONARY ALGORITHMS Gabriela Ochoa http://www.cs.stir.ac.uk/~goc/ OUTLINE Optimisation problems Optimisation & search Two Examples The knapsack problem

Constraints in Particle Swarm Optimization of Hidden Markov Models

Constraints in Particle Swarm Optimization of Hidden Markov Models Martin Macaš, Daniel Novák, and Lenka Lhotská Czech Technical University, Faculty of Electrical Engineering, Dep. of Cybernetics, Prague,

A REVIEW ON VARIOUS APPROACHES OF CLUSTERING IN DATA MINING

A REVIEW ON VARIOUS APPROACHES OF CLUSTERING IN DATA MINING Abhinav Kathuria Email - abhinav.kathuria90@gmail.com Abstract: Data mining is the process of the extraction of the hidden pattern from the data

Operations Research. Overview of Areas of Faculty Research. Graduate Orientation Fall Department of Mathematical and Statistical Sciences

Operations Research Overview of Areas of Faculty Research Department of Mathematical and Statistical Sciences Graduate Orientation Fall 2011 What is Operations Research? Agent-based modeling Airline scheduling

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction

Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction Alberto Guillén, Ignacio Rojas, Jesús González, Héctor Pomares, L.J. Herrera and Francisco Fernández University

SPATIAL GUIDANCE TO RRT PLANNER USING CELL-DECOMPOSITION ALGORITHM

SPATIAL GUIDANCE TO RRT PLANNER USING CELL-DECOMPOSITION ALGORITHM Ahmad Abbadi, Radomil Matousek, Pavel Osmera, Lukas Knispel Brno University of Technology Institute of Automation and Computer Science

A genetic algorithms approach to optimization parameter space of Geant-V prototype

A genetic algorithms approach to optimization parameter space of Geant-V prototype Oksana Shadura CERN, PH-SFT & National Technical Univ. of Ukraine Kyiv Polytechnic Institute Geant-V parameter space [1/2]

Range Sensors (time of flight) (1)

Range Sensors (time of flight) (1) Large range distance measurement -> called range sensors Range information: key element for localization and environment modeling Ultrasonic sensors, infra-red sensors

Module 1 Lecture Notes 2. Optimization Problem and Model Formulation

Optimization Methods: Introduction and Basic concepts 1 Module 1 Lecture Notes 2 Optimization Problem and Model Formulation Introduction In the previous lecture we studied the evolution of optimization

Improving Results and Performance of Collaborative Filtering-based Recommender Systems using Cuckoo Optimization Algorithm

Improving Results and Performance of Collaborative Filtering-based Recommender Systems using Cuckoo Optimization Algorithm Majid Hatami Faculty of Electrical and Computer Engineering University of Tabriz,

ADVANCED ANALYTICS USING SAS ENTERPRISE MINER RENS FEENSTRA

INSIGHTS@SAS: ADVANCED ANALYTICS USING SAS ENTERPRISE MINER RENS FEENSTRA AGENDA 09.00 09.15 Intro 09.15 10.30 Analytics using SAS Enterprise Guide Ellen Lokollo 10.45 12.00 Advanced Analytics using SAS

Image Processing, Analysis and Machine Vision

Image Processing, Analysis and Machine Vision Milan Sonka PhD University of Iowa Iowa City, USA Vaclav Hlavac PhD Czech Technical University Prague, Czech Republic and Roger Boyle DPhil, MBCS, CEng University

GA is the most popular population based heuristic algorithm since it was developed by Holland in 1975 [1]. This algorithm runs faster and requires les

Chaotic Crossover Operator on Genetic Algorithm Hüseyin Demirci Computer Engineering, Sakarya University, Sakarya, 54187, Turkey Ahmet Turan Özcerit Computer Engineering, Sakarya University, Sakarya, 54187,

The Computational Beauty of Nature

Gary William Flake The Computational Beauty of Nature Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation A Bradford Book The MIT Press Cambridge, Massachusetts London, England Preface

10/5/09 1. d = 2. Range Sensors (time of flight) (2) Ultrasonic Sensor (time of flight, sound) (1) Ultrasonic Sensor (time of flight, sound) (2) 4.1.

Range Sensors (time of flight) (1) Range Sensors (time of flight) (2) arge range distance measurement -> called range sensors Range information: key element for localization and environment modeling Ultrasonic

QUANTUM BASED PSO TECHNIQUE FOR IMAGE SEGMENTATION

International Journal of Computer Engineering and Applications, Volume VIII, Issue I, Part I, October 14 QUANTUM BASED PSO TECHNIQUE FOR IMAGE SEGMENTATION Shradha Chawla 1, Vivek Panwar 2 1 Department

Curriculum (Structure) for. M. Tech. With Effect From. Academic Year (F. Y. M. Tech.) (S. Y. M. Tech.)

Curriculum (Structure) for M. Tech. Computer Science and Information Technology With Effect From Academic Year 2018-2019 (F. Y. M. Tech.) 2019-2020 (S. Y. M. Tech.) Teaching and Evaluation Scheme First

Argha Roy* Dept. of CSE Netaji Subhash Engg. College West Bengal, India.

Volume 3, Issue 3, March 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Training Artificial

Preprocessing of Stream Data using Attribute Selection based on Survival of the Fittest

Preprocessing of Stream Data using Attribute Selection based on Survival of the Fittest Bhakti V. Gavali 1, Prof. Vivekanand Reddy 2 1 Department of Computer Science and Engineering, Visvesvaraya Technological

Refinement of Data-Flow Testing using Ant Colony Algorithm

Refinement of Data-Flow Testing using Ant Colony Algorithm Abhay Kumar Srivastav, Supriya N S 2,2 Assistant Professor,2 Department of MCA,MVJCE Bangalore-560067 Abstract : Search-based optimization techniques

SOLUTION OF THE NONLINEAR LEAST SQUARES PROBLEM USING A NEW GRADIENT BASED GENETIC ALGORITHM

VOL. 11, NO. 1, NOVEMBER 16 ISSN 1819-668 6-16 Asian Research Publishing Network (ARPN). All rights reserved. SOLUTION OF THE NONLINEAR LEAST SQUARES PROBLEM USING A NEW GRADIENT BASED GENETIC ALGORITHM

Exploration vs. Exploitation in Differential Evolution

Exploration vs. Exploitation in Differential Evolution Ângela A. R. Sá 1, Adriano O. Andrade 1, Alcimar B. Soares 1 and Slawomir J. Nasuto 2 Abstract. Differential Evolution (DE) is a tool for efficient

NEURO-PREDICTIVE CONTROL DESIGN BASED ON GENETIC ALGORITHMS

NEURO-PREDICTIVE CONTROL DESIGN BASED ON GENETIC ALGORITHMS I.Sekaj, S.Kajan, L.Körösi, Z.Dideková, L.Mrafko Institute of Control and Industrial Informatics Faculty of Electrical Engineering and Information

Theoretical Concepts of Machine Learning

Theoretical Concepts of Machine Learning Part 2 Institute of Bioinformatics Johannes Kepler University, Linz, Austria Outline 1 Introduction 2 Generalization Error 3 Maximum Likelihood 4 Noise Models 5

PROBLEM FORMULATION AND RESEARCH METHODOLOGY

PROBLEM FORMULATION AND RESEARCH METHODOLOGY ON THE SOFT COMPUTING BASED APPROACHES FOR OBJECT DETECTION AND TRACKING IN VIDEOS CHAPTER 3 PROBLEM FORMULATION AND RESEARCH METHODOLOGY The foregoing chapter

2 nd Year. Module Basket of Courses Duration Credit Offered Status. 12 Weeks 4 NPTEL Programming in Java

MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, WEST BENGAL List of Online Courses for 2nd Year, 3rd Year and 4th Year B.Tech Courses of IT and CSE for Additional Credit Earning 2 nd Year Module Basket

Kyrre Glette INF3490 Evolvable Hardware Cartesian Genetic Programming

Kyrre Glette kyrrehg@ifi INF3490 Evolvable Hardware Cartesian Genetic Programming Overview Introduction to Evolvable Hardware (EHW) Cartesian Genetic Programming Applications of EHW 3 Evolvable Hardware

Genetic Algorithms and Genetic Programming. Lecture 9: (23/10/09)

Genetic Algorithms and Genetic Programming Lecture 9: (23/10/09) Genetic programming II Michael Herrmann michael.herrmann@ed.ac.uk, phone: 0131 6 517177, Informatics Forum 1.42 Overview 1. Introduction:

MONOCULAR OBJECT LOCALIZATION BY SUPERQUADRICS CURVATURE REPROJECTION AND MATCHING

GraphiCon 2012 (Moscow, Russia) University of Trento, Italy MONOCULAR OBJECT LOCALIZATION BY SUPERQUADRICS CURVATURE REPROJECTION AND MATCHING Enrico Zappia, Ilya Afanasyev, Nicolo Biasi, Mattia Tavernini,

Research Article Forecasting SPEI and SPI Drought Indices Using the Integrated Artificial Neural Networks

Computational Intelligence and Neuroscience Volume 2016, Article ID 3868519, 17 pages http://dx.doi.org/10.1155/2016/3868519 Research Article Forecasting SPEI and SPI Drought Indices Using the Integrated

International Journal of Advance Engineering and Research Development. A Survey on Data Mining Methods and its Applications

Scientific Journal of Impact Factor (SJIF): 4.72 International Journal of Advance Engineering and Research Development Volume 5, Issue 01, January -2018 e-issn (O): 2348-4470 p-issn (P): 2348-6406 A Survey

COMPARISON OF MODERN CLUSTERING ALGORITHMS FOR TWO- DIMENSIONAL DATA

COMPARISON OF MODERN CLUSTERING ALGORITHMS FOR TWO- DIMENSIONAL DATA 1 Martin Kotyrba, 1 Eva Volna, 2 Zuzana Kominkova Oplatkova 1 Department of Informatics and Computers University of Ostrava, 70103,

Traffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization

Traffic Signal Control Based On Fuzzy Artificial Neural Networks With Particle Swarm Optimization J.Venkatesh 1, B.Chiranjeevulu 2 1 PG Student, Dept. of ECE, Viswanadha Institute of Technology And Management,

Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems

Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems Dervis Karaboga and Bahriye Basturk Erciyes University, Engineering Faculty, The Department of Computer

CONFERENCE PROGRAMME

CONFERENCE PROGRAMME Dear participants and guests of the annual conference, I am delighted that you have accepted the invitation to attend the most important programme event of the Czech Association of

Real Coded Genetic Algorithm Particle Filter for Improved Performance

Proceedings of 2012 4th International Conference on Machine Learning and Computing IPCSIT vol. 25 (2012) (2012) IACSIT Press, Singapore Real Coded Genetic Algorithm Particle Filter for Improved Performance

Data Mining Practical Machine Learning Tools and Techniques. Slides for Chapter 6 of Data Mining by I. H. Witten and E. Frank

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 6 of Data Mining by I. H. Witten and E. Frank Implementation: Real machine learning schemes Decision trees Classification

ITIL General overview

ITIL General overview Roman Jašek, Lukáš Králík, and Jakub Nožička Citation: AIP Conference Proceedings 1648, 550021 (2015); doi: 10.1063/1.4912776 View online: http://dx.doi.org/10.1063/1.4912776 View

Genetic Algorithm for Job Shop Scheduling

Genetic Algorithm for Job Shop Scheduling Mr.P.P.Bhosale Department Of Computer Science and Engineering, SVERI s College Of Engineering Pandharpur, Solapur University Solapur Mr.Y.R.Kalshetty Department

Semester Wise Schema BS Computer Science

Semester I (Credit Hours: 15) 1 CSC-101 Introduction to Information and Communication Technology (ICT) 4(3 + 1) -NONE- 2 CSC-102 Introduction to Programming 4 (3 + 1) -NONE- 3 ENG-101 Functional English

Application of Improved Discrete Particle Swarm Optimization in Logistics Distribution Routing Problem

Available online at www.sciencedirect.com Procedia Engineering 15 (2011) 3673 3677 Advanced in Control Engineeringand Information Science Application of Improved Discrete Particle Swarm Optimization in

Boolean network robotics

Boolean network robotics An example of ongoing robotics research Andrea Roli andrea.roli@unibo.it DISI - Dept. of Computer Science and Engineering Campus of Cesena Alma Mater Studiorum Università di Bologna

Aero-engine PID parameters Optimization based on Adaptive Genetic Algorithm. Yinling Wang, Huacong Li

International Conference on Applied Science and Engineering Innovation (ASEI 215) Aero-engine PID parameters Optimization based on Adaptive Genetic Algorithm Yinling Wang, Huacong Li School of Power and

Department of Computer Science & Engineering University of Kalyani. Syllabus for Ph.D. Coursework

Department of Computer Science & Engineering University of Kalyani Syllabus for Ph.D. Coursework Paper 1: A) Literature Review: (Marks - 25) B) Research Methodology: (Marks - 25) Paper 2: Computer Applications:

STATISTICS (STAT) Statistics (STAT) 1

Statistics (STAT) 1 STATISTICS (STAT) STAT 2013 Elementary Statistics (A) Prerequisites: MATH 1483 or MATH 1513, each with a grade of "C" or better; or an acceptable placement score (see placement.okstate.edu).

African Buffalo Optimization (ABO): a New Meta-Heuristic Algorithm

Journal of Advanced & Applied Sciences (JAAS) Volume 03, Issue 03, Pages 101-106, 2015 ISSN: 2289-6260 African Buffalo Optimization (ABO): a New Meta-Heuristic Algorithm Julius Beneoluchi Odili*, Mohd

Introduction to Image Super-resolution. Presenter: Kevin Su

Introduction to Image Super-resolution Presenter: Kevin Su References 1. S.C. Park, M.K. Park, and M.G. KANG, Super-Resolution Image Reconstruction: A Technical Overview, IEEE Signal Processing Magazine,

Fuzzy Inspired Hybrid Genetic Approach to Optimize Travelling Salesman Problem

Fuzzy Inspired Hybrid Genetic Approach to Optimize Travelling Salesman Problem Bindu Student, JMIT Radaur binduaahuja@gmail.com Mrs. Pinki Tanwar Asstt. Prof, CSE, JMIT Radaur pinki.tanwar@gmail.com Abstract

Data Mining Chapter 8: Search and Optimization Methods Fall 2011 Ming Li Department of Computer Science and Technology Nanjing University

Data Mining Chapter 8: Search and Optimization Methods Fall 2011 Ming Li Department of Computer Science and Technology Nanjing University Search & Optimization Search and Optimization method deals with

A Novel Hybrid Self Organizing Migrating Algorithm with Mutation for Global Optimization

International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-3, Issue-6, January 2014 A Novel Hybrid Self Organizing Migrating Algorithm with Mutation for Global Optimization

Path Planning Optimization Using Genetic Algorithm A Literature Review

International Journal of Computational Engineering Research Vol, 03 Issue, 4 Path Planning Optimization Using Genetic Algorithm A Literature Review 1, Er. Waghoo Parvez, 2, Er. Sonal Dhar 1, (Department

Name of the lecturer Doç. Dr. Selma Ayşe ÖZEL

Y.L. CENG-541 Information Retrieval Systems MASTER Doç. Dr. Selma Ayşe ÖZEL Information retrieval strategies: vector space model, probabilistic retrieval, language models, inference networks, extended

ACCELERATING THE ANT COLONY OPTIMIZATION

ACCELERATING THE ANT COLONY OPTIMIZATION BY SMART ANTS, USING GENETIC OPERATOR Hassan Ismkhan Department of Computer Engineering, University of Bonab, Bonab, East Azerbaijan, Iran H.Ismkhan@bonabu.ac.ir

Evolving Multitask Neural Network Structure

Evolving Multitask Neural Network Structure Risto Miikkulainen The University of Texas at Austin and Sentient Technologies, Inc. What is Metalearning? In this talk: Discovering effective NN structure...

Introduction (7.1) Genetic Algorithms (GA) (7.2) Simulated Annealing (SA) (7.3) Random Search (7.4) Downhill Simplex Search (DSS) (7.

Chapter 7: Derivative-Free Optimization Introduction (7.1) Genetic Algorithms (GA) (7.2) Simulated Annealing (SA) (7.3) Random Search (7.4) Downhill Simplex Search (DSS) (7.5) Jyh-Shing Roger Jang et al.,

The Data Mining usage in Production System Management

The Data Mining usage in Production System Management Pavel Vazan, Pavol Tanuska, Michal Kebisek Abstract The paper gives the pilot results of the project that is oriented on the use of data mining techniques

A Data-Driven Smart Proxy Model for A Comprehensive Reservoir Simulation

A Data-Driven Smart Proxy Model for A Comprehensive Reservoir Simulation Faisal Alenezi Department of Petroleum and Natural Gas Engineering West Virginia University Email: falenezi@mix.wvu.edu Shahab Mohaghegh

A Genetic Algorithm for Graph Matching using Graph Node Characteristics 1 2

Chapter 5 A Genetic Algorithm for Graph Matching using Graph Node Characteristics 1 2 Graph Matching has attracted the exploration of applying new computing paradigms because of the large number of applications

Estimating Random Delays in Modbus Network Using Experiments and General Linear Regression Neural Networks with Genetic Algorithm Smoothing

Estimating Random Delays in Modbus Network Using Experiments and General Linear Regression Neural Networks with Genetic Algorithm Smoothing B. Sreram 1, F. Bounapane 2, B. Subathra 3, Seshadhri Srinivasan

CAP 6412 Advanced Computer Vision

CAP 6412 Advanced Computer Vision http://www.cs.ucf.edu/~bgong/cap6412.html Boqing Gong April 21st, 2016 Today Administrivia Free parameters in an approach, model, or algorithm? Egocentric videos by Aisha

Mutations for Permutations

Mutations for Permutations Insert mutation: Pick two allele values at random Move the second to follow the first, shifting the rest along to accommodate Note: this preserves most of the order and adjacency

Model-based Real-Time Estimation of Building Occupancy During Emergency Egress

Model-based Real-Time Estimation of Building Occupancy During Emergency Egress Robert Tomastik 1, Satish Narayanan 2, Andrzej Banaszuk 3, and Sean Meyn 4 1 Pratt & Whitney 400 Main St., East Hartford,

The 2018 (14th) International Conference on Data Science (ICDATA)

CALL FOR PAPERS LATE BREAKING PAPERS, POSITION PAPERS, ABSTRACTS, POSTERS Paper Submission Deadline: May 20, 2018 The 2018 (14th) International Conference on Data Science (ICDATA) (former International

Data Mining Technology Based on Bayesian Network Structure Applied in Learning

, pp.67-71 http://dx.doi.org/10.14257/astl.2016.137.12 Data Mining Technology Based on Bayesian Network Structure Applied in Learning Chunhua Wang, Dong Han College of Information Engineering, Huanghuai

Wrapper Feature Selection using Discrete Cuckoo Optimization Algorithm Abstract S.J. Mousavirad and H. Ebrahimpour-Komleh* 1 Department of Computer and Electrical Engineering, University of Kashan, Kashan,

Opportunistic Self Organizing Migrating Algorithm for Real-Time Dynamic Traveling Salesman Problem

Opportunistic Self Organizing Migrating Algorithm for Real-Time Dynamic Traveling Salesman Problem arxiv:1709.03793v1 [cs.ne] 12 Sep 2017 Shubham Dokania, Sunyam Bagga, and Rohit Sharma shubham.k.dokania@gmail.com,

PV211: Introduction to Information Retrieval

PV211: Introduction to Information Retrieval http://www.fi.muni.cz/~sojka/pv211 IIR 15-1: Support Vector Machines Handout version Petr Sojka, Hinrich Schütze et al. Faculty of Informatics, Masaryk University,

Machine Learning Techniques for the Smart Grid Modeling of Solar Energy using AI

Machine Learning Techniques for the Smart Grid Modeling of Solar Energy using AI Professor Dr. Wilfried Elmenreich Dr. Tamer Khatib Networked and Embedded Systems Overview Scope of this tutorial Meta-heuristic

Course Overview: Lectures

Course Overview: Lectures Content: Elements of projective geometry Perspective camera Geometric problems in 3D vision Epipolar geometry Optimization methods in 3D vision 3D structure and camera motion

Pre-requisite Material for Course Heuristics and Approximation Algorithms

Pre-requisite Material for Course Heuristics and Approximation Algorithms This document contains an overview of the basic concepts that are needed in preparation to participate in the course. In addition,

4/22/2014. Genetic Algorithms. Diwakar Yagyasen Department of Computer Science BBDNITM. Introduction

4/22/24 s Diwakar Yagyasen Department of Computer Science BBDNITM Visit dylycknow.weebly.com for detail 2 The basic purpose of a genetic algorithm () is to mimic Nature s evolutionary approach The algorithm

Density Based Clustering using Modified PSO based Neighbor Selection

Density Based Clustering using Modified PSO based Neighbor Selection K. Nafees Ahmed Research Scholar, Dept of Computer Science Jamal Mohamed College (Autonomous), Tiruchirappalli, India nafeesjmc@gmail.com

Machine Learning for Software Engineering

Machine Learning for Software Engineering Introduction and Motivation Prof. Dr.-Ing. Norbert Siegmund Intelligent Software Systems 1 2 Organizational Stuff Lectures: Tuesday 11:00 12:30 in room SR015 Cover

PATH PLANNING FOR ULTRALIGHTS UNDER EMERGENCY CONDITIONS

PATH PLANNING FOR ULTRALIGHTS UNDER EMERGENCY CONDITIONS Tomáš Levora, Ondřej Bruna and Pavel Pačes Czech Technical University in Prague Keywords: Emergency Landing, Roadmap Motion Planning, Safe Landing

A neural network that classifies glass either as window or non-window depending on the glass chemistry.

A neural network that classifies glass either as window or non-window depending on the glass chemistry. Djaber Maouche Department of Electrical Electronic Engineering Cukurova University Adana, Turkey

Using Neural Networks to Tune Heuristic Parameters in Evolutionary Optimization

Using Neural Networks to Tune Heuristic Parameters in Evolutionary Optimization MARTIN HOLEŇA Institute of Computer Science, Academy of Sciences of the Czech Republic Pod vodárenskou věží 2, 18207 Praha

FMA901F: Machine Learning Lecture 3: Linear Models for Regression. Cristian Sminchisescu

FMA901F: Machine Learning Lecture 3: Linear Models for Regression Cristian Sminchisescu Machine Learning: Frequentist vs. Bayesian In the frequentist setting, we seek a fixed parameter (vector), with value(s)

Analytical model A structure and process for analyzing a dataset. For example, a decision tree is a model for the classification of a dataset.

Glossary of data mining terms: Accuracy Accuracy is an important factor in assessing the success of data mining. When applied to data, accuracy refers to the rate of correct values in the data. When applied

CS423: Data Mining. Introduction. Jakramate Bootkrajang. Department of Computer Science Chiang Mai University

CS423: Data Mining Introduction Jakramate Bootkrajang Department of Computer Science Chiang Mai University Jakramate Bootkrajang CS423: Data Mining 1 / 29 Quote of the day Never memorize something that

Hybrid AFS Algorithm and k-nn Classification for Detection of Diseases

Hybrid AFS Algorithm and k-nn Classification for Detection of Diseases Logapriya S Dr.G.Anupriya II ME(CSE) Department of Computer Science and Engineering Dr. Mahalingam college of Engineering and Technology,

ACO and other (meta)heuristics for CO

ACO and other (meta)heuristics for CO 32 33 Outline Notes on combinatorial optimization and algorithmic complexity Construction and modification metaheuristics: two complementary ways of searching a solution

What is machine learning?

Machine learning, pattern recognition and statistical data modelling Lecture 12. The last lecture Coryn Bailer-Jones 1 What is machine learning? Data description and interpretation finding simpler relationship