代码搜索：kde
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kde readme.kde
#
# $Id: README.KDE,v 1.1 2000/04/03 06:53:09 reinelt Exp $
#
This is the README file for the KDE integration of lcd4linux
First: lcd4linux is NO KDE program!
But: lcd4linux with the X11-driver
www.eeworm.com/read/374411/9407075
m kde.m
function p = kde(points,ks,weights,typeS)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% kde(points,ksize[,weights][,type]) -- nonparametric density estimate of a
www.eeworm.com/read/278778/10509540
themerc kde.themerc
[General]
name=kAqua
author=Jeff Marlow
email=jeff@bluegenesis.com
homepage=http://jeff.marlow.net
description=Apple's Aqua (Mac OS X)\nThanks to Dangeruss for the Graphics\nThanks to Steve Jobs
www.eeworm.com/read/422591/10626865
r kde.r
###############################################################################
# Multivariate kernel density estimators
#############################################################################
www.eeworm.com/read/422591/10627024
rd kde.rd
\name{kde}
\alias{kde}
\title{Kernel density estimate for multivariate data}
\description{
Kernel density estimate for 1- to 6-dimensional data.
}
\usage{
kde(x, H, h, gridsize, gridtype, xmin, xma
www.eeworm.com/read/422591/10627121
out kde.out
\BOOKMARK [1][-]{section.1}{Introduction}{}
\BOOKMARK [1][-]{section.2}{Optimal bandwidth matrices}{}
\BOOKMARK [1][-]{section.3}{Plug-in bandwidth selectors}{}
\BOOKMARK [2][-]{subsection.3.1}{AMSE p
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pdf kde.pdf
www.eeworm.com/read/422591/10627138
rnw kde.rnw
\documentclass[a4paper,11pt]{article}
\usepackage{amsmath,amssymb,amsthm,amsopn,natbib,anysize}
\marginsize{2.5cm}{2.5cm}{2.5cm}{2.5cm}
\renewcommand{\today}{\begingroup
\number \day\space
www.eeworm.com/read/422591/10627144
blg kde.blg
This is BibTeX, Version 0.99c (Web2C 7.4.5)
The top-level auxiliary file: kde.aux
The style file: apalike.bst
Database file #1: ../../../../../references.bib
Warning--empty journal in duong2007c
You'v
www.eeworm.com/read/422591/10627151
bbl kde.bbl
\begin{thebibliography}{}
\bibitem[Bowman and Azzalini, 2005]{sm}
Bowman, A.~W. and Azzalini, A. (2005).
\newblock {\em sm: kernel smoothing methods: Bowman and Azzalini (1997)}.
\newblock R package