资源分类
》 资源 》论文》The Kernelized Stochastic Batch Perceptron

The Kernelized Stochastic Batch Perceptron

2020-02-28 | |  70 |   40 |   0

Abstract

We present a novel approach for training kernel Support Vector Machines, establish learning runtime guarantees for our method that are better then those of any other known kernelized SVM optimization approach, and show that our method works well in practice compared to existing alternatives.

上一篇：Flexible Modeling of Latent Task Structures in Multitask Learning

下一篇：A Hybrid Algorithm for Convex Semidefinite Optimization

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...