2 papers
cs.LG2025
A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention
Tao Yang, Yu Cheng, Yaokun Ren +3
This paper addresses the challenges of mining latent patterns and modeling contextual dependencies in complex sequence data. A sequence pattern mining algorithm is proposed by inte…
cs.LG2025
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference
Yujia Lou, Jie Liu, Yuan Sheng +3
This study proposes a method for imbalanced data classification based on deep probabilistic graphical models (DPGMs) to solve the problem that traditional methods have insufficient…