This project aims to compare the performance of several machine learning classification algorithms, in the task of predicting the poverty status of households in Nepal. The target variable to be ...

Custom implementations of classification algorithms, including k-nearest neighbors for binary and multi-class problems, a perceptron for binary classification, and a one-vs-rest strategy for extending ...

This project resolves key problems in older systems by blending binary logic with random or probability-based logic.

Miller's Law states, "To understand what another person is saying, you must first assume what the person said is true and ...

CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Therefore, the CAAR concluded that the Mobile Computers, Tablet Computers, and Vehicle-Mounted Computers are appropriately classified under the residual triple dash (—) entry CTI 84713090, designated ...

Tiarna Lee explores the root causes of racial bias in AI-driven cardiac imaging to support the development of fairer, more ...

Abstract: In this work, we propose a hybrid binary classifier which combines a decision tree ... The model will be useful for feature selection cum classification tasks in real-world supervised ...