Despite all the perks, decision trees can sometimes overfit or struggle with balancing bias and variance. To further explain, overly simplistic trees may exhibit high bias, while overly complex trees ...

This project focuses on the classification of trees in Lidar data using machine learning techniques. The Lidar data is stored in a LAS file format (.laz), containing approximately 9 million points.

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

Abstract: Multi-class classification problem is still a research hotspot in machine learning, and researchers dedicate themselves to create new algorithms with higher efficiency and accuracy. A ...

The objective of this research is to report results from a new ensemble method for vegetation classification that uses deep learning (DL) and machine learning (ML) techniques. Deep learning and ...