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Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
IEEE

Unbalanced Data Integration Learning Based on Kernel Density Estimation

Abstract: To effectively address the challenges of undersampling techniques when handling imbalanced data, a new undersampling ensemble learning algorithm based on Kernel Density Estimation (KDEE) is ...
Frontiers

Kernel Density Estimation: a novel tool for visualising training intensity distribution in biathlon

Purpose: This study introduces two-dimensional (2D) Kernel Density Estimation (KDE) plots as a novel tool for visualising Training Intensity Distribution (TID) in biathlon. The goal was to assess how ...
marktechpost

Meta Releases Llama Prompt Ops: A Python Package that Automatically Optimizes Prompts for Llama Models

The growing adoption of open-source large language models such as Llama has introduced new integration challenges for teams previously relying on proprietary systems like OpenAI’s GPT or Anthropic’s ...
C&EN

Kernel-Based Modeling of Electron-Density Polarization at Metal–Liquid Interfaces

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00129. Notes on the functional form of reorganization energy and ...
Scientific Research Publishing

Bayesian Inference Method for Stable Distributions ()

Stable distributions are well-known for their desirable properties and can effectively fit data with heavy tail. However, due to the lack of an explicit probability density function and finite second ...
Frontiers

Utility of osteoporosis screening based on estimation of bone mineral density using bidirectional chest radiographs with deep learning models

Introduction: Osteoporosis increases the risk of fragility fractures, especially of the lumbar spine and femur. As fractures affect life expectancy, it is crucial to detect the early stages of ...
IEEE

A Robust Kalman Filter Based on Kernel Density Estimation for System State Estimation Against Measurement Outliers

Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...