首页>
外国专利>
KERNEL LEARNING APPARATUS USING TRANSFORMED CONVEX OPTIMIZATION PROBLEM
KERNEL LEARNING APPARATUS USING TRANSFORMED CONVEX OPTIMIZATION PROBLEM
展开▼
机译:变换凸优化问题的核学习装置
展开▼
页面导航
摘要
著录项
相似文献
摘要
In a kernel learning apparatus, a data preprocessing circuitry preprocesses and represents each data example as a collection of feature representations that need to be interpreted. An explicit feature mapping circuit designs a kernel function with an explicit feature map to embed the feature representations of data into a nonlinear feature space and to produce the explicit feature map for the designed kernel function to train a predictive model. A convex problem formulating circuitry formulates a non-convex problem for training the predictive model into a convex optimization problem based on the explicit feature map. An optimal solution solving circuitry solves the convex optimization problem to obtain a globally optimal solution for training an interpretable predictive model.
展开▼