PsyPost on MSN

Machine learning identifies brain patterns that predict antidepressant success

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
PsyPost on MSN

Music training may buffer children against the academic toll of poverty

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years ...

Health Discovery Corp.

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IEEE

Support Vector Machine Algorithm in Machine Learning

Abstract: The Support Vector methods was proposed by V.Vapnik in 1965, when he was trying to solve problems in pattern recognition. In 1971, Kimeldorf proposed a method of constructing kernel space ...
Scientific Research Publishing

Extra Trees Model for Heart Disease Prediction ()

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...
Scientific Research Publishing

Comparative Analysis of Machine Learning Algorithms for Optimal Land Use and Land Cover Classification: Guiding Method Selection for Resource-Limited Settings in Tiaty, Baringo ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...
IEEE

Artificial Flora Algorithm-Based Feature Selection With Support Vector Machine for Cardiovascular Disease Classification

Abstract: Accurately categorizing medical information is crucial for determining effective cardiac treatment options, especially as the volume of data grows and feature selection becomes increasingly ...