Hosted on MSN

Build K-Nearest Neighbors from Scratch in Python – Step by Step Tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
Frontiers

A machine learning model for predicting postoperative complication risk in young and middle-aged patients with femoral neck fractures

Objective: Femoral neck fractures are the most common type of hip fracture, and the postoperative complications associated with these fractures significantly affect patients’ quality of life and ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
IEEE

Clustering Algorithm by Boundary Detection Base on Entropy of KNN

Abstract: Clustering analysis has been widely applied in various fields, and boundary detection based clustering algorithms have shown effective performance. In this work, we propose a clustering ...
GitHub

A scikit-learn compatible implementation of the Adaptive Lasso algorithm for feature selection and regression.

Adaptive Lasso is an extension of the standard Lasso method that provides improved feature selection properties through weighted L1 penalties. It assigns different weights to different coefficients in ...
Nerdbot

How Python Powers the Gaming Industry and AI Algorithms in Video Games

The video game industry has evolved leaps and bounds over the last half century, from simple arcade-like gameplay to highly immersive, intelligent, and interactive gaming. With advancements in ...
Scientific Research Publishing

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., et al. (2020) Scipy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...
Frontiers

Transformers deep learning models for missing data imputation: an application of the ReMasker model on a psychometric scale

1 Natural and Artificial Cognition Laboratory, Department of Humanistic Studies, University of Naples “Federico II”, Naples, Italy 2 Department of Translational Medical Science, University of Naples ...