3 papers
cs.LG2024
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference
Xiaojie Yu, Haibo Zhang, Lizhi Peng +2
ReduNet is a deep neural network model that leverages the principle of maximal coding rate \textbf{redu}ction to transform original data samples into a low-dimensional, linear disc…
cs.NE2020
A Novel Graphic Bending Transformation on Benchmark
Chunxiuzi Liu, Fengyang Sun, Qingrui Ni +2
Classical benchmark problems utilize multiple transformation techniques to increase optimization difficulty, e.g., shift for anti centering effect and rotation for anti dimension s…
cs.NE2019
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming
Aftab Anjum, Fengyang Sun, Lin Wang +1
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.…