ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.02225
  4. Cited By
Fast Kernel Smoothing in R with Applications to Projection Pursuit
v1v2 (latest)

Fast Kernel Smoothing in R with Applications to Projection Pursuit

7 January 2020
David P. Hofmeyr
ArXiv (abs)PDFHTML

Papers citing "Fast Kernel Smoothing in R with Applications to Projection Pursuit"

2 / 2 papers shown
Title
Optimal Projections for Classification with Naive Bayes
Optimal Projections for Classification with Naive Bayes
David P. Hofmeyr
Francois Kamper
Michail M. Melonas
22
1
0
09 Sep 2024
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in
  Gaussian Mixture Models
BOB: Bayesian Optimized Bootstrap for Uncertainty Quantification in Gaussian Mixture Models
Santiago Marin
Bronwyn Loong
A. Westveld
66
0
0
07 Nov 2023
1