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  1. plranksvm plranksvm Public

    This is a parallel algorithm developed to train the linear ranksvm on shared-memory systems

    C 1

  2. dlranksvm dlranksvm Public

    This is a distribued algorithm used to train the large-scale linear ranksvm on distributed systems

    C

  3. subsampling subsampling Public

    This is a subsamping method used to accelerate the linear ranksvm training

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  4. nomad-kernelmatrix nomad-kernelmatrix Public

    This is an asynchronous distributed algorithm to compute a huge-scale kernel matrix. The main feature of the algorithm is that this method can well hidden the communication costs when executing on …

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  5. nomad-kranksvm nomad-kranksvm Public

    This is an asynchronous distibuted method used to improve the training speed of large-scale kernel ranksvm. In fact , such an algorithm can be executed in both shared-memory and distributed systems…

    C

  6. spark-svm spark-svm Public

    This is a svm classifer executed in the spark platform. Due to the high fault-tolerance and in-memory cluster compuing, spark will be a promising platform to cope with the large-scale data.

    Scala 1