Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ML models.

Binary Decision Diagram-based synthesis for reversible circuits has shown great evidence in realizing reversible circuits with low quantum cost through exploiting proper reduction rules for smaller ...

Binary decision diagrams (BDDs) are directed acyclic graphs used to represent functions over boolean variables. They have enjoyed widespread success in a number of domains, including hardware ...

DSA-Binary-Decision-Diagram This project represents the 2nd assignment for the course Data Structures & Algorithm. It contains the Binary Decision Diagram (BDD). BDD is a rooted, directed, acyclic ...

Therefore, we introduce a novel method for incorporating the NCCN Bone Cancer Guidelines into LLMs using a Binary Decision Tree (BDT) approach. The approach involves constructing a BDT based on NCCN ...

Add a description, image, and links to the binary-decision-diagram topic page so that developers can more easily learn about it ...

There are many other techniques for binary classification, but using a decision tree is very common and the technique is considered a fundamental machine learning skill for data scientists. There are ...

A decision tree is a machine learning technique that can be used for binary classification or multi-class classification. A binary classification problem is one where the goal is to predict the value ...