28 citations · 48 across the 13 of their papers we have counts for
13 papers
A Margin-Maximizing Fine-Grained Ensemble Method
Jinghui Yuan, Hao Chen, Renwei Luo +1
Ensemble learning has achieved remarkable success in machine learning, but its reliance on numerous base learners limits its application in resource-constrained environments. This…
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
Yongbo Yu, Weizhong Yu, Feiping Nie +1
The self-attention mechanism in Transformer architecture, invariant to sequence order, necessitates positional embeddings to encode temporal order in time series prediction. We arg…
Robust Capped lp-Norm Support Vector Ordinal Regression
Haorui Xiang, Zhichang Wu, Guoxu Li +3
Ordinal regression is a specialized supervised problem where the labels show an inherent order. The order distinguishes it from normal multi-class problem. Support Vector Ordinal R…
Simple Multigraph Convolution Networks
Danyang Wu, Xinjie Shen, Jitao Lu +2
Existing multigraph convolution methods either ignore the cross-view interaction among multiple graphs, or induce extremely high computational cost due to standard cross-view polyn…
Embedded Multi-label Feature Selection via Orthogonal Regression
Xueyuan Xu, Fulin Wei, Tianyuan Jia +3
In the last decade, embedded multi-label feature selection methods, incorporating the search for feature subsets into model optimization, have attracted considerable attention in a…
NPL: Negative Pseudo Partial Labels Extraction for Graph Neural Networks
Xinjie Shen, Danyang Wu, Jitao Lu +3
How to utilize the pseudo labels has always been a research hotspot in machine learning. However, most methods use pseudo labels as supervised training, and lack of valid assessing…