Jul 6, 2021 · In this paper, we propose a scalable kernel learning algorithm for SU classification using a triply stochastic optimization framework, called TSGSU.

Specifically, in each iteration, our method randomly samples an instance from the similar pairs set, an instance from the unlabeled set, and their random ...

This paper proposes a scalable kernel learning algorithm for SU classification using a triply stochastic optimization framework, called TSGSU, ...

Abstract: Similar unlabeled (SU) classification is pervasive in many real-world applications, where only similar data pairs (two data points have the same ...

Jul 6, 2021 · In this paper, we propose a scalable kernel learning algorithm for SU classification using a triply sto- chastic optimization framework, called ...

Specifically, in each iteration, our method randomly samples an instance from the similar pairs set, an instance from the unlabeled set, and their random ...

Jul 6, 2021 · Specifically, in each iteration, our method randomly samples an instance from the similar pairs set, an instance from the unlabeled set, and ...

Jul 21, 2021 · "Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification" by Wanli Shi, Bin Gu, Xiang Li, Cheng Deng ...

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. W Shi, B Gu, X Li, C Deng, H Huang. Machine Learning 110 (8), 2005 ...

Triply stochastic gradient method for large-scale nonlinear similar unlabeled classification. W Shi, B Gu, X Li, C Deng, H Huang. Machine Learning 110 (8), 2005 ...