The predictive accuracy of 5 machine learning classifiers (logistic regression classifier, random forest classifier, support vector machine, k-nearest neighbor, and adaptive boosting) was examined ...

Classification is a complicated process that looks incredibly simple on the surface. Find out why classification matters in machine learning.

There is a rising controversy about Machine Learning myopia as to overlooking the value of neuro-symbolic AI or hybrid AI, which has crucial ramifications for AI and AI Ethics. This includes the ...

Beyond performance, the framework breaks new ground in its unification of symbolic reasoning and statistical learning.

The resulting classifier could identify tumor reactive T cells from TILs with 90% accuracy, works in many different types of tumor, and accommodates data from different cell sequencing technologies.

Machine learning classifier accelerates the development of cellular immunotherapies Date: March 15, 2024 Source: German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) Summary ...

The study provides both the theoretical foundations and empirical evidence for a new family of machine learning (ML) methods that not only compete with but outperform state-of-the-art statistical ...