Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
New research shows that the application of AI remains uneven across the full spectrum of disaster management, with most systems still concentrated on detection and prediction rather than actionable ...
A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...
Abstract: In the current landscape, addressing missing values poses a significant challenge when dealing with real-world problems. In this work, a hybrid model, DT-GA-FLANN, is proposed to address the ...
[Click here for an explanation regarding the code and how to start: https://github.com/KI-Research-Institute/Soft-Decision-Tree/blob/main/Instructions] Background and ...
Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...
1 Department of Mathematics, Meru University of Science & Technology (MUST), Meru, Kenya. 2 Department of Mathematics, Pan African University Institute of Basic Sciences Technology and Innovations ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...
SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (MLGO) (the "Company" or "MicroAlgo") announced today the launch of their latest classifier auto-optimization technology based on ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results