<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Yoshikazu Terada | Atsutomo Yara</title><link>https://yaratsu.github.io/author/yoshikazu-terada/</link><atom:link href="https://yaratsu.github.io/author/yoshikazu-terada/index.xml" rel="self" type="application/rss+xml"/><description>Yoshikazu Terada</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><image><url>https://yaratsu.github.io/media/icon_hu7729264130191091259.png</url><title>Yoshikazu Terada</title><link>https://yaratsu.github.io/author/yoshikazu-terada/</link></image><item><title>Nonparametric logistic regression with deep learning</title><link>https://yaratsu.github.io/publication/yara-nonparametric-2026/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/publication/yara-nonparametric-2026/</guid><description/></item><item><title>A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data</title><link>https://yaratsu.github.io/publication/terada-theory-2026/</link><pubDate>Sun, 01 Mar 2026 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/publication/terada-theory-2026/</guid><description/></item><item><title>Nonparametric Intensity Estimation in Covariate-Driven Poisson Processes Using Deep Learning</title><link>https://yaratsu.github.io/event/iasc-ars13/</link><pubDate>Fri, 05 Dec 2025 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/iasc-ars13/</guid><description/></item><item><title>On maximum likelihood estimation of intensity function for Poisson process with deep learning</title><link>https://yaratsu.github.io/event/isiwsc65/</link><pubDate>Tue, 07 Oct 2025 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/isiwsc65/</guid><description/></item><item><title>深層学習を⽤いたポアソン過程データに対するノンパラメトリック回帰</title><link>https://yaratsu.github.io/event/jsas2025n/</link><pubDate>Sat, 17 May 2025 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/jsas2025n/</guid><description/></item><item><title>深層学習と⽤いた Poisson 点過程の強度関数の最尤推定</title><link>https://yaratsu.github.io/event/jjsm2024/</link><pubDate>Tue, 03 Sep 2024 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/jjsm2024/</guid><description/></item><item><title>Nonparametric estimation of conditional class probabilities using deep neural networks</title><link>https://yaratsu.github.io/event/compstat2024/</link><pubDate>Fri, 30 Aug 2024 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/compstat2024/</guid><description/></item><item><title>深層学習を⽤いた条件付き確率のノンパラメトリック最尤推定</title><link>https://yaratsu.github.io/event/jscs38t/</link><pubDate>Fri, 24 May 2024 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/jscs38t/</guid><description/></item><item><title>Nonparametric Logistic Regression with Deep Neural Network</title><link>https://yaratsu.github.io/event/jgsc8/</link><pubDate>Wed, 30 Aug 2023 00:00:00 +0000</pubDate><guid>https://yaratsu.github.io/event/jgsc8/</guid><description/></item></channel></rss>