Abstract: Neural networks that overlook the underlying causal relationships among observed variables pose significant risks in high-stakes decision-making contexts due to concerns about the robustness ...

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 ...

Eric Gutiérrez, 6th February 2026. A Python implementation of a 1-hidden layer neural network built entirely from first principles. This project avoids deep learning libraries (like TensorFlow or ...

Learn how forward propagation works in neural networks using Python! This tutorial explains the process of passing inputs through layers, calculating activations, and preparing data for ...

Abstract: With the continuous expansion of automation and unmanned demand in industry, hydraulic cylinders, as one of the most important industrial actuators, urgently need fault diagnosis solutions ...

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

The Kubuntu Focus line of laptops have been around for a few years at this point, offering customers a way to buy a laptop or mini PCthat comes with Kubuntu pre-installed while financially supporting ...

Cybersecurity researchers have uncovered a new campaign in which the threat actors have published more than 67 GitHub repositories that claim to offer Python-based hacking tools, but deliver ...