Abstract: A novel and efficient algorithm is proposed to reduce the computational complexity for KNN classification. It uses two important features, the approximation coefficient of a fully decomposed ...

Here's a complete end-to-end demo of what Dr. James McCaffrey of Microsoft Research says is arguably the simplest possible classification technique. The goal of a machine learning classification ...

To complete the task of automatic recognition and classification of thyroid nodules and solve the problem of high classification error rates when the samples are ...

Abstract: The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. It can be interpreted as an empirical Bayes' classifier based on the estimated a ...

ABSTRACT: We advance here a novel methodology for robust intelligent biometric information management with inferences and predictions made using randomness and complexity concepts. Intelligence refers ...