Patents by Inventor Dmitry Pechyony

Dmitry Pechyony has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Parallel training of a support vector machine (SVM) with distributed block minimization
    Patent number: 9569401
    Abstract: A method to solve large scale linear SVM that is efficient in terms of computation, data storage and communication requirements. The approach works efficiently over very large datasets, and it does not require any master node to keep any examples in its memory. The algorithm assumes that the dataset is partitioned over several nodes on a cluster, and it performs “distributed block minimization” to achieve the desired results. Using the described approach, the communication complexity of the algorithm is independent of the number of training examples.
    Type: Grant
    Filed: December 6, 2012
    Date of Patent: February 14, 2017
    Assignee: Akamai Technologies, Inc.
    Inventors: Dmitry Pechyony, Libin Shen, Rosie Jones