Decision tree induction algorithms are widely used in knowledge discovery and data mining, specially in scenarios where model comprehensibility is desired. A variation of the traditional univariate ...

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...

Decision tree algorithms have been successfully applied to various agricultural contexts, such as classifying raisins by size, shape, color, and texture (Raihen & Akter, 2024), identifying data types ...