Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

Menka Sanghvi, author of ‘Your Best Digital Life’ and expert in mindfulness and digital habits, explores how we’ve outsourced decision-making to machines without noticing. Drawing on ne… ...

In collaboration with the Rotary Club of York, city crews will replace more than 50 trees in the three-block stretch between Pershing Avenue and Duke Street with serviceberry and male ginkgo trees.

Decision trees are a powerful tool for decision-making and predictive analysis. They help organizations process large amounts of data and break down complex problems into clear, logical steps. Used in ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Traffic offences are characterised by high complexity and low sentencing accuracy in the ordinary prosecution sentencing process. Decision tree algorithm is a more effective sentencing accuracy and ...

1. Introduction Decision tree is a type of supervised learning in machine learning, representing a mapping relationship between sample values and attributes. The decision tree algorithm is easy to ...

Mark Cuban blames social media algorithms for young men favoring Trump: 'Influences their decision making' Mark Cuban told MSNBC the Harris campaign must "reverse-engineer" the algorithms that are ...