EFFICIENT METHOD FOR SEMI-SUPERVISED MACHINE LEARNING

    公开(公告)号:WO2019152050A1

    公开(公告)日:2019-08-08

    申请号:PCT/US2018/016704

    申请日:2018-02-02

    Abstract: A method is disclosed. The method includes a) obtaining a data set comprising a subset of labeled data and a subset of unlabeled data, b) determining a minimization equation characterizing a semi-supervised learning process, the minimization equation comprising a convex component and a non-convex component; c) applying a smoothing function to the minimization equation to obtain a smoothed minimization equation; d) determining a surrogate function based on the smoothed minimization equation and the data set, wherein the surrogate function includes a convex surrogate function component and a non-convex surrogate function component; e) performing a minimization process on the surrogate function resulting in a temporary minimum solution; and f) repeating d) and e) until a global minimum solution is determined. The method also includes creating a support vector machine using the global minimum solution.

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