activity
20152025
most citedQuadratic Surface Support Vector Machine with L1 Norm Regularization

14 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2025

The Why and How of Convex Clustering

Eric C. Chi, Aaron J. Molstad, Zheming Gao +1

This survey reviews a clustering method based on solving a convex optimization problem. Despite the plethora of existing clustering methods, convex clustering has several uncommon…

cs.LG2022

A Novel Markov Model for Near-Term Railway Delay Prediction

Jin Xu, Weiqi Wang, Zheming Gao +2

Predicting the near-future delay with accuracy for trains is momentous for railway operations and passengers' traveling experience. This work aims to design prediction models for t…

cs.LG2021★ 2 cited

Sparse Universum Quadratic Surface Support Vector Machine Models for Binary Classification

Hossein Moosaei, Ahmad Mousavi, Milan Hladík +1

In binary classification, kernel-free linear or quadratic support vector machines are proposed to avoid dealing with difficulties such as finding appropriate kernel functions or tu…

cs.LG2019★ 14 cited

Quadratic Surface Support Vector Machine with L1 Norm Regularization

Ahmad Mousavi, Zheming Gao, Lanshan Han +1

We propose norm regularized quadratic surface support vector machine models for binary classification in supervised learning. We establish their desired theoretical proper…

math.OC2015★ 1 cited

Rescaled Pure Greedy Algorithm for Convex Optimization

Zheming Gao, Guergana Petrova

We suggest a new greedy strategy for convex optimization in Banach spaces and prove its convergent rates under a suitable behavior of the modulus of uniform smoothness of the objec…