Scaling up Machine Learning
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    Scaling up Machine Learning (English, Hardcover, Langford John Langford)

    Scaling up Machine Learning  (English, Hardcover, Langford John Langford)

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    Features
    • Language: English
    • Binding: Hardcover
    • Publisher: Cambridge University Press
    • ISBN: 9780521192248, 0521192242
    • Edition: 2012
    • Pages: 475
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    Description
    This integrated collection covers a range of parallelization platforms, concurrent programming frameworks, and machine learning settings, with case studies
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    Specifications
    Book Details
    • Publication Year
      • 2012
    • Table of Contents
      • Part I. Frameworks For Scaling Up Machine Learning

        1. Scaling Up Machine Learning: Introduction
        2. Mapreduce and Its Application To Massively Parallel Learning of Decision Tree Ensembles
        3. Large-Scale Machine Learning Using Dryadlinq
        4. Ibm Parallel Machine Learning Toolbox
        5. Uniformly Fine-Grained Data Parallel Computing For Machine Learning Algorithms

        Part II:Supervised and Unsupervised Learning Algorithms

        6. PSVM: Parallel Support Vector Machines With Incomplete
        7. Massive SVM Parallelization Using Hardware Accelerators
        8. Large-Scale Learning To Rank Using Boosted Decision Trees
        9. The Transform Regression Algorithm
        10. Parallel Belief Propagation In Factor Graphs
        11. Distributed Gibbs Sampling For Latent Variable Models
        12. Large-Scale Spectral Clustering With Mapreduce and Mpi
        13. Parallelizing Information-Theoretic Clustering Methods

        Part III: Alternative Learning Settings

        14. Parallel Online Learning
        15. Parallel Graph-Based Semi-Supervised Learning
        16. Distributed Transfer Learning Via Cooperative Matrix Factorization
        17. Parallel Large-Scale Feature Selection

        Part IV: Applications

        18. Large-Scale Learning for Vision with Gpus
        19. Large-Scale Fpga-Based Convolutional Networks Clement
        20. Mining Tree Structured Data on Multicore Systems
        21. Scalable Parallelization of Automatic Speech Recognition

    Contributors
    • Author
      • Langford John Langford
    University Books Details
    • Specialization
      • Others
    Dimensions
    • Width
      • 1.3 Inches (US)
    • Height
      • 10.2 Inches (US)
    • Weight
      • 2.4 Pounds (US)
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