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1203.3491
Cited By
Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost
15 March 2012
Ping Li
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Papers citing
"Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost"
41 / 41 papers shown
Title
Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data
Huawei Lin
Jun Woo Chung
Yingjie Lao
Weijie Zhao
77
0
0
03 Feb 2025
MONOPOLY: Learning to Price Public Facilities for Revaluing Private Properties with Large-Scale Urban Data
M. Fan
Jizhou Huang
An Zhuo
Ying Li
P. Li
Haifeng Wang
166
3
0
27 Nov 2024
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Zheyu Zhang
Tianze Zhang
Jun Yu Li
105
5
0
18 May 2023
Boost CTR Prediction for New Advertisements via Modeling Visual Content
Tan Yu
Zhipeng Jin
Jie Liu
Yi Yang
Hongliang Fei
Ping Li
66
8
0
23 Sep 2022
Package for Fast ABC-Boost
Ping Li
Weijie Zhao
61
6
0
18 Jul 2022
pGMM Kernel Regression and Comparisons with Boosted Trees
Ping Li
Weijie Zhao
95
3
0
18 Jul 2022
Integrity Authentication in Tree Models
Weijie Zhao
Yingjie Lao
Ping Li
137
5
0
30 May 2022
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification
Ping Li
Weijie Zhao
59
6
0
22 May 2022
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
Ping Li
Weijie Zhao
BDL
51
11
0
07 Jan 2022
Selecting a number of voters for a voting ensemble
Eric Bax
26
2
0
23 Apr 2021
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
Mihaela Găman
Sebastian Cojocariu
Radu Tudor Ionescu
68
4
0
18 Feb 2021
A Tensor Compiler for Unified Machine Learning Prediction Serving
Supun Nakandala Karla Saur
Karla Saur
Gyeong-In Yu
Konstantinos Karanasos
Carlo Curino
Markus Weimer
Matteo Interlandi
98
53
0
09 Oct 2020
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
Mihaela Găman
Radu Tudor Ionescu
26
6
0
07 Oct 2020
Machine-learning-enhanced time-of-flight mass spectrometry analysis
Ye Wei
Rama Srinivas Varanasi
T. Schwarz
L. Gomell
Huan Zhao
...
Binhan Sun
Geng Liu
Hao Chen
Dierk Raabe
B. Gault
18
24
0
02 Oct 2020
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
S. Vargaftik
I. Keslassy
A. Orda
Y. Ben-Itzhak
38
18
0
26 Sep 2019
Plackett-Luce model for learning-to-rank task
Tian Xia
Shaodan Zhai
Shaojun Wang
18
2
0
15 Sep 2019
Analysis of Regression Tree Fitting Algorithms in Learning to Rank
Tian Xia
Shaodan Zhai
Shaojun Wang
23
0
0
12 Sep 2019
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
Zhendong Zhang
Cheolkon Jung
42
135
0
10 Sep 2019
Gradient Boosting Machine: A Survey
Zhiyuan He
Danchen Lin
Thomas Lau
Mike Wu
SyDa
AI4CE
22
30
0
19 Aug 2019
An Experimental Evaluation of Large Scale GBDT Systems
Fangcheng Fu
Jiawei Jiang
Yingxia Shao
Tengjiao Wang
67
34
0
03 Jul 2019
Formal Verification of Decision-Tree Ensemble Model and Detection of its Violating-input-value Ranges
Naoto Sato
Hironobu Kuruma
Y. Nakagawa
H. Ogawa
67
12
0
26 Apr 2019
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
Jun-Kun Wang
Xiaoyun Li
Belhal Karimi
Ping Li
ODL
46
1
0
04 Mar 2019
Gradient and Newton Boosting for Classification and Regression
Fabio Sigrist
89
62
0
09 Aug 2018
Second Language Acquisition Modeling: An Ensemble Approach
A. Osika
Susanna Nilsson
A. Sydorchuk
Faruk Şahin
Anders Huss
AI4Ed
22
9
0
09 Jun 2018
Several Tunable GMM Kernels
Ping Li
31
13
0
08 May 2018
Compact Multi-Class Boosted Trees
Natalia Ponomareva
Thomas Colthurst
Gilbert Hendry
Salem Haykal
Soroush Radpour
143
20
0
31 Oct 2017
Generating Compact Tree Ensembles via Annealing
Gitesh Dawer
Yangzi Guo
Adrian Barbu
24
0
0
16 Sep 2017
LogitBoost autoregressive networks
M. Goessling
TPM
32
5
0
22 Mar 2017
Tunable GMM Kernels
Ping Li
44
8
0
09 Jan 2017
Stability selection for component-wise gradient boosting in multiple dimensions
Janek Thomas
A. Mayr
B. Bischl
M. Schmid
Adam Smith
B. Hofner
44
66
0
30 Nov 2016
Linearized GMM Kernels and Normalized Random Fourier Features
Ping Li
52
10
0
18 May 2016
A Comparison Study of Nonlinear Kernels
Ping Li
31
1
0
21 Mar 2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
837
39,631
0
09 Mar 2016
Min-Max Kernels
Ping Li
117
5
0
05 Mar 2015
CoRE Kernels
Ping Li
57
7
0
24 Apr 2014
Feature Selection with Annealing for Computer Vision and Big Data Learning
Adrian Barbu
Yiyuan She
Liangjing Ding
Gary Gramajo
82
102
0
10 Oct 2013
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
Peng Sun
Mark D. Reid
Jie Zhou
68
13
0
18 Oct 2011
A theory of multiclass boosting
Indraneel Mukherjee
Robert Schapire
217
141
0
15 Aug 2011
b-Bit Minwise Hashing for Large-Scale Linear SVM
Ping Li
Joshua L. Moore
A. König
50
3
0
23 May 2011
Fast ABC-Boost for Multi-Class Classification
Ping Li
96
5
0
25 Jun 2010
Adaptive Base Class Boost for Multi-class Classification
Ping Li
113
51
0
08 Nov 2008
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