AI Stock Trading: The Future of Algorithms in Investing

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

MOCT: a Multi-class Oblique Tree Algorithm for Synergistic Drug Combination Prediction

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
IEEE

Comparative Analysis of Decision Tree Algorithms for DotA 2 Match Outcome Prediction

Abstract: This paper presents a comparative analysis of various decision tree algorithms applied to the task of predicting match outcomes in Defense of the Ancients 2, a complex multiplayer online ...
Visual Studio Magazine

Decision Tree Regression from Scratch Without Pointers or Recursion Using C#

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 ...
Scientific Research Publishing

Kou, G., Lu, Y., Peng, Y. and Shi, Y. (2014) Evaluation of Classification Algorithms Using MCDM and Rank Correlation. International Journal of Information Technology & Decision ...

ABSTRACT: The rapid advancement of autonomous agentic systems (AAS) has revolutionized critical sectors such as healthcare, finance, defense, and cybersecurity. However, their integration into these ...