Mostrando recursos 1 - 6 de 6

  1. kernlab - An S4 Package for Kernel Methods in R

    Zeileis, Achim; Hornik, Kurt; Smola, Alex; Karatzoglou, Alexandros
    kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 object model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method. (authors' abstract)

  2. kernlab - An S4 Package for Kernel Methods in R

    Zeileis, Achim; Hornik, Kurt; Smola, Alex; Karatzoglou, Alexandros
    kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 object model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method. (authors' abstract)

  3. kernlab - An S4 Package for Kernel Methods in R

    Zeileis, Achim; Hornik, Kurt; Smola, Alex; Karatzoglou, Alexandros
    kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 object model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method.

  4. kernlab - An S4 Package for Kernel Methods in R

    Karatzoglou, Alexandros; Smola, Alex; Hornik, Kurt; Zeileis, Achim
    kernlab is an extensible package for kernel-based machine learning methods in R. It takes advantage of R's new S4 object model and provides a framework for creating and using kernel-based algorithms. The package contains dot product primitives (kernels), implementations of support vector machines and the relevance vector machine, Gaussian processes, a ranking algorithm, kernel PCA, kernel CCA, and a spectral clustering algorithm. Moreover it provides a general purpose quadratic programming solver, and an incomplete Cholesky decomposition method.

  5. Nonprofit Organisationen im sozialen Dienstleistungsbereich Bedeutung, Rahmenbedingungen, Perspektiven

    Schober, Christian; Schober, Doris
    Gut funktionierende Beziehungen zwischen sozialen Nonprofitorganisationen (NPOs) und der öffentlichen Hand sind für beide Seiten wichtig und eine zentrale Voraussetzung für die Aufrechterhaltung einer guten sozialen Versorgung. Die tatsächliche Qualität dieser Beziehungen, ihre Veränderungen und deren Auswirkungen, stehen im Zentrum der vorliegenden, am NPO-Institut durchgeführten Studie, die von der Bundesarbeitsgemeinschaft "Freie Wohlfahrt" (BAG) beauftragt wurde. Der Schwerpunkt der Untersuchung liegt im Bereich mobile Altenpflege und -betreuung. Zusätzlich werden, in geringerem Umfang, die Bereiche stationäre Altenpflege und -betreuung, sowie Behindertenarbeit untersucht. (executive summary)(...).

  6. Eco-labelling. A Socio-economic Analysis.

    Williams, Wendy
    Due to the interdisciplinary nature of eco-labelling, the sense of the phenomenon itself is lost when studied in isolation. With this consideration, a balance of research between practical and theoretical approaches, between environmental sociology, environmental economics, international trade relations, consumer society, sustainability and marketing theory was explored. Eco-labelling has far-reaching ramifications in society, not just in the commercial relationship between producer and consumer, but in socio-cultural norms and values. It combines economic and social forces via the marketplace. The research of this paper focuses on 1) the socio-cultural aspects of eco-labelling, 2) the economic incentive which drives eco-labelling and 3)...

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