3 papers
stat.ML2024
A Novel Framework for Online Supervised Learning with Feature Selection
Lizhe Sun, Mingyuan Wang, Siquan Zhu +1
Current online learning methods suffer issues such as lower convergence rates and limited capability to select important features compared to their offline counterparts. In this pa…
cs.CV2024
A Study of Shape Modeling Against Noise
Cheng Long, Adrian Barbu
Shape modeling is a challenging task with many potential applications in computer vision and medical imaging. There are many shape modeling methods in the literature, each with its…
cs.LG2024
Feature Selection with Annealing for Forecasting Financial Time Series
Hakan Pabuccu, Adrian Barbu
Stock market and cryptocurrency forecasting is very important to investors as they aspire to achieve even the slightest improvement to their buy or hold strategies so that they may…