Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Given these advantages, the present study aims to employ the decision tree algorithm to classify tomatoes based on their ripeness condition for consumption using colorimetric characteristics obtained ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help ...

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

The algorithm performances were evaluated by three aspects: prediction accuracy, running speed and memory consumption. By constructing decision tree and stepwise regression model to learn the above ...

The decision tree makes predictions based on this tendency toward a particular outcome. For continuous attributes, the algorithm uses linear regression to determine where a decision tree splits.