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 ...

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

This paper presents a comprehensive overview of decision trees, including the core concepts, algorithms, applications, their early development to the recent high-performing ensemble algorithms and ...

Moreover, researchers propose some prospective challenges, opportunities, and future research directions for benchmarking causal reasoning algorithms in visual representation learning.

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 ...

To further improve the performance of disease decision issues, we must combine image and text into multimodality for the Visual Question Answering (VQA) task to implement decision-making on fruit tree ...