3 papers
stat.ML2025
A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
Eliuvish Cuicizion
Principal curve is a well-known statistical method oriented in manifold learning using concepts from differential geometry. In this paper, we propose a novel metric-based principal…
cs.LG2024
A review of feature selection strategies utilizing graph data structures and knowledge graphs
Sisi Shao, Pedro Henrique Ribeiro, Christina Ramirez +1
Feature selection in Knowledge Graphs (KGs) are increasingly utilized in diverse domains, including biomedical research, Natural Language Processing (NLP), and personalized recomme…
stat.ML2024
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
Sisi Shao, Junhyung Park, Weng Kee Wong
General purpose optimization routines such as nlminb, optim (R) or nlmixed (SAS) are frequently used to estimate model parameters in nonstandard distributions. This paper presents…