Search Results - (((((((want OR pants) OR wanting) OR makant) OR cantor) OR anne) OR share) OR hints) algorithms.

  1. 141

    Delphi High Performance : Build fast Delphi applications using concurrency, parallel programming and memory management. by Gabrijelčič, Primož

    Published 2018
    Table of Contents: “…; Different types of speed; Algorithm complexity; Big O and Delphi data structures; Data structures in practice; Mr. …”
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  2. 142

    Big Data and HPC. by Grandinetti, L.

    Published 2018
    Table of Contents: “…Reliability-Aware Voltage Scaling of Multicore Processors in Dark Silicon EraTime Collection: An Abstraction for Shared Objects in Parallel Programming; Parallel and Distributed Analysis of Microarray Data; Extracting Distributed Architecture from Source Code Using an Evolutionary Approach; An Architectural Approach to Grid Provisioning; Subject Index; Author Index.…”
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  3. 143
  4. 144

    Comprehensive Ruby Programming. by Hudgens, Jordan

    Published 2017
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  5. 145

    Data Science : The Executive Summary - a Technical Book for Non-Technical Professionals. by Cady, Field

    Published 2020
    Table of Contents: “…Chapter 3 Working with Modern Data -- 3.1 Unstructured Data and Passive Collection -- 3.2 Data Types and Sources -- 3.3 Data Formats -- 3.3.1 CSV Files -- 3.3.2 JSON Files -- 3.3.3 XML and HTML -- 3.4 Databases -- 3.4.1 Relational Databases and Document Stores -- 3.4.2 Database Operations -- 3.5 Data Analytics Software Architectures -- 3.5.1 Shared Storage -- 3.5.2 Shared Relational Database -- 3.5.3 Document Store + Analytics RDB -- 3.5.4 Storage + Parallel Processing -- Chapter 4 Telling the Story, Summarizing Data -- 4.1 Choosing What to Measure…”
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  6. 146

    CUDA programming : a developer's guide to parallel computing with GPUs by Cook, Shane

    Published 2013
    Table of Contents: “…ALGORITHMIC ISSUESFINDING AND AVOIDING ERRORS; DEVELOPING FOR FUTURE GPUS; FURTHER RESOURCES; CONCLUSION; References; Index.…”
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  7. 147

    Handbook for pandemic and mass-casualty planning and response

    Published 2012
    Table of Contents: “…Burn Injuries during Mass-Casualty IncidentsBlast Injuries; Section 3: Communication and Information Sharing; Information Sharing in Practice and for Practice: Mass-Casualty Cases; Communication between Emergency Medical Services and Media during Mass-Casualty Events in Croatia; Just-in-Time Information; Collaboration Topologies for Interdisciplinary and Interlevel Information Exchange; Networks and Their Role in Counteracting Contemporary Global Threats: A New Model; Architecture of R & D Project Management Systems at Medical Institutions; Lessons Learned; Lessons Learned; Subject Index…”
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    Electronic Conference Proceeding eBook
  8. 148

    AI and human thought and emotion by Freed, Sam (Philosophy professor)

    Published 2020
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  9. 149

    High performance computing on complex environments by Jeannot, Emmanuel

    Published 2014
    Table of Contents: “…Chapter 4: Parallel Algorithms for Parabolic Problems on Graphs in Neuroscience4.1 Introduction; 4.2 Formulation of the Discrete Model; 4.3 Parallel Algorithms; 4.4 Computational Results; 4.5 Conclusions; Acknowledgments; References; Part III: Communication and Storage Considerations in High-Performance Computing; Chapter 5: An Overview of Topology Mapping Algorithms and Techniques in High-Performance Computing; 5.1 Introduction; 5.2 General Overview; 5.3 Formalization of the Problem; 5.4 Algorithmic Strategies for Topology Mapping; 5.5 Mapping Enforcement Techniques; 5.6 Survey of Solutions.…”
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  10. 150

    Robot Intelligence for Coordinated Manipulation and Its Industrial Application. by Yang, Chenguang

    Published 2020
    Table of Contents: “…ASPW-DRL: assembly sequence planning for workpieces via a deep reinforcement learning approach -- Cooperative multi-agent search using Bayesian approach with connectivity maintenance -- An extended DMP framework for robot learning and improving variable stiffness manipulation -- Cooperative control of dual-arm robots in different human-robot collaborative tasks -- Reinforcement learning for human-robot shared control -- On stability for learning human control strategy by demonstrations using SVM -- A novel active balance assistive control strategy based on virtual stiffness model of XCoM…”
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  11. 151

    Materials Science and Intelligent Technologies Applications : Selected, Peer Reviewed Papers from the 2014 3rd International Conference on Key Engineering Materials and Computer Sc...

    Published 2014
    Table of Contents: “…Automatic Badminton Action Recognition Using RGB-D SensorKinect-Based Badminton Action Analysis System; A Review of Hot Topic Detection and Tracking Technology; Study on the Improvement of TFIDF Algorithm in Data Mining; A New Protocol for Secure Distributed Multiplication of Two Polynomial Shared Values; Human Posture Recognition Based on DAG-SVMS; The Design and Implementation of Astronomical Multi-Catalog Storage and Cross-Match Based on Hadoop; The Multi-Scale Hough Transform Lane Detection Method Based on the Algorithm of Otsu and Canny; Design of Heart Sound Analyzer.…”
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  12. 152
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  14. 154

    Parallel Computing : Advances and Current Issues, Proceedings of the International Conference Parco2001. by Joubert, G. R.

    Published 2002
    Table of Contents: “…Committees ; Preface ; Invited Papers ; Deploying Parallel Numerical Library Routines to Cluster Computing in a Self Adapting Fashion ; 1 Overview ; 2 Numerical libraries in shared homogeneous distributed environments ; 3 Sample software implementation and results.…”
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  15. 155

    Business Hack : the Wealth Dragon Way to Build a Successful Business in the Digital Age. by Lee, John

    Published 2018
    Table of Contents: “…Out with the Old, in with the NewThe AI Revolution; Think Laterally; Who Wants to Live Forever?; Who's the Expert Now?; Which Future?…”
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  16. 156
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  18. 158

    Advances in time series forecasting. Volume 2

    Published 2017
    Table of Contents: “…INTRODUCTION -- CLASSICAL TIME SERIES FORECASTING MODELS -- ARTIFICIAL NEURAL NETWORKS FOR FORECASTING TIME SERIES -- A NEW ARTIFICIAL NEURAL NETWORK WITH DETERMINISTIC COMPONENTS -- APPLICATIONS -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A Fuzzy Time Series Approach Based on Genetic Algorithm with Single Analysis Process -- Ozge Cagcag Yolcu* -- INTRODUCTION -- FUZZY TIME SERIES -- RELATED METHODS -- Genetic Algorithm (GA) -- Single Multiplicative Neuron Model -- PROPOSED METHOD -- APPLICATIONS -- CONCLUSION AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Forecasting Stock Exchanges with Fuzzy Time Series Approach Based on Markov Chain Transition Matrix -- Cagdas Hakan Aladag1,* and Hilal Guney2 -- INTRODUCTION -- FUZZY TIME SERIES -- TSAUR 'S FUZZY TIME SERIES MARKOV CHAIN MODEL -- THE IMPLEMENTATION -- CONCLUSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- A New High Order Multivariate Fuzzy Time Series Forecasting Model -- Ufuk Yolcu* -- INTRODUCTION -- RELATED METHODOLOGY -- The Fuzzy C-Means (FCM) Clustering Method -- Single Multiplicative Neuron Model Artificial Neural Network (SMN-ANN) -- Fuzzy Time Series -- THE PROPOSED METHOD -- APPLICATIONS -- CONCLUSIONS AND DISCUSSION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Fuzzy Functions Approach for Time Series Forecasting -- Ali Z. …”
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  19. 159

    Scientific computing with multicore and accelerators

    Published 2010
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  20. 160

    Stochastic Models in Reliability Engineering. by Cui, Lirong

    Published 2020
    Table of Contents: “…4.3.1 Run and Phrase -- 4.3.2 Multi-State Compression Algorithm -- 4.4 Proposed Multi-State Inference Algorithm -- 4.4.1 Rules for Calculating Intermediate Variables -- 4.4.2 Proposed Multi-State Inference Algorithm -- 4.5 Case Study -- 4.5.1 Case Background -- 4.5.2 Calculation and Analysis -- 4.6 Summary -- Appendix A -- Appendix B -- References -- Chapter 5 Reliability Analysis of Demand-Based Warm Standby System with Multi-State Common Bus -- 5.1 Introduction -- 5.2 Model Description for a DBWSS with Multi-State Common Bus Performance Sharing…”
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