Frontiers

Stroke rate–stroke length dynamics in elite freestyle swimming: application of kernel density estimation

Objectives: To analyse stroke rate (SR) and stroke length (SL) combinations among elite swimmers to better understand stroke strategies across all race distances of freestyle events. Design: We ...
GitHub

Python: Semantic kernel equivalent of model retry upon tool call error

I would like to the pass the tool call error message back to the LLM so that the LLM can correct itself. Is that possible? Pydantic AI supports something similar ...
Hosted on MSN

Build a Neural Network for Multiclass Classification with Softmax in Python

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
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 ...
GitHub

Pull requests: satyamgajjar21/Python---Kernel-Density-Estimation-KDE-Plots-for-Model-Evaluation

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
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 ...
VentureBeat

Mistral launches API for building AI agents that run Python, generate images, perform RAG and more

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now The well-funded and innovative French AI ...
IEEE

LKVHAN: Multiscale Large Kernel Vertical-Horizontal Attention Network for Hyperspectral Image Classification

Abstract: Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely ...
Scientific Research Publishing

Wand, M.P., Marron, J.S. and Ruppert, D. (1991) Transformations in Density Estimation. Journal of the American Statistical Association, 86, 343-353.

ABSTRACT: 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 ...
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 ...