7 citations · 32 across the 21 of their papers we have counts for
6 papers · 1 filter
Histogram Transform Ensembles for Large-scale Regression
Hanyuan Hang, Zhouchen Lin, Xiaoyu Liu +1
We propose a novel algorithm for large-scale regression problems named histogram transform ensembles (HTE), composed of random rotations, stretchings, and translations. First of al…
Histogram Transform Ensembles for Density Estimation
Hanyuan Hang
We investigate an algorithm named histogram transform ensembles (HTE) density estimator whose effectiveness is supported by both solid theoretical analysis and significant experime…
Density-based Clustering with Best-scored Random Forest
Hanyuan Hang, Yuchao Cai, Hanfang Yang
Single-level density-based approach has long been widely acknowledged to be a conceptually and mathematically convincing clustering method. In this paper, we propose an algorithm c…
Best-scored Random Forest Classification
Hanyuan Hang, Xiaoyu Liu, Ingo Steinwart
We propose an algorithm named best-scored random forest for binary classification problems. The terminology "best-scored" means to select the one with the best empirical performanc…
Best-scored Random Forest Density Estimation
Hanyuan Hang, Hongwei Wen
This paper presents a brand new nonparametric density estimation strategy named the best-scored random forest density estimation whose effectiveness is supported by both solid theo…
Two-stage Best-scored Random Forest for Large-scale Regression
Hanyuan Hang, Yingyi Chen, Johan A. K. Suykens
We propose a novel method designed for large-scale regression problems, namely the two-stage best-scored random forest (TBRF). "Best-scored" means to select one regression tree wit…