Decision Trees for Uncertain Data - HKU Scholars Hub

Decision tree is one of the most popular algorithms in the domain of explainable AI. From its structure, it is simple to induce a set of deci-.







A Scalable Deterministic Global Optimization Algorithm for Training ...
Top-Down Induction of Decision Trees. Main loop: 1. A = the ?best? decision attribute for next node. 2. Assign A as decision attribute for node.
Enhancing decision tree accuracy and compactness with improved ...
This article provides a comprehensive guide to creating and interpreting decision trees using Visio, focusing on the underlying logic and practical applications ...
Decision Trees
In this paper we propose a methodology to learn decision trees from uncertain data in the belief function framework. In the proposed method, the tree parameters ...



Autres Cours:

Reconstruction and testing via decision trees - Stanford CS Theory