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10/18/2022
Bagged k-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets
In this paper, we propose an ensemble learning algorithm named bagged k-...
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12/05/2021
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning
In this paper, we propose a gradient boosting algorithm called adaptive ...
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09/01/2021
Under-bagging Nearest Neighbors for Imbalanced Classification
In this paper, we propose an ensemble learning algorithm called under-ba...
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06/10/2021
GBHT: Gradient Boosting Histogram Transform for Density Estimation
In this paper, we propose a density estimation algorithm called Gradient...
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06/10/2021
Leveraged Weighted Loss for Partial Label Learning
As an important branch of weakly supervised learning, partial label lear...
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06/03/2021
Gradient Boosted Binary Histogram Ensemble for Large-scale Regression
In this paper, we propose a gradient boosting algorithm for large-scale ...
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12/08/2019
Histogram Transform Ensembles for Large-scale Regression
We propose a novel algorithm for large-scale regression problems named h...
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11/24/2019
Histogram Transform Ensembles for Density Estimation
We investigate an algorithm named histogram transform ensembles (HTE) de...
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06/24/2019
Density-based Clustering with Best-scored Random Forest
Single-level density-based approach has long been widely acknowledged to...
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05/27/2019
Best-scored Random Forest Classification
We propose an algorithm named best-scored random forest for binary class...
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05/09/2019
Best-scored Random Forest Density Estimation
This paper presents a brand new nonparametric density estimation strateg...
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05/09/2019
Two-stage Best-scored Random Forest for Large-scale Regression
We propose a novel method designed for large-scale regression problems, ...
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10/04/2018
Optimal Learning with Anisotropic Gaussian SVMs
This paper investigates the nonparametric regression problem using SVMs ...
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09/04/2018
Matrix Infinitely Divisible Series: Tail Inequalities and Applications in Optimization
In this paper, we study tail inequalities of the largest eigenvalue of a...
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07/13/2016
Kernel Density Estimation for Dynamical Systems
We study the density estimation problem with observations generated by c...
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05/10/2016
