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Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost

Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost

15 March 2012
Ping Li
ArXiv (abs)PDFHTML

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
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
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
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance
Zheyu Zhang
Tianze Zhang
Jun Yu Li
110
5
0
18 May 2023
Boost CTR Prediction for New Advertisements via Modeling Visual Content
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
Package for Fast ABC-Boost
Ping Li
Weijie Zhao
61
6
0
18 Jul 2022
pGMM Kernel Regression and Comparisons with Boosted Trees
pGMM Kernel Regression and Comparisons with Boosted Trees
Ping Li
Weijie Zhao
95
3
0
18 Jul 2022
Integrity Authentication in Tree Models
Integrity Authentication in Tree Models
Weijie Zhao
Yingjie Lao
Ping Li
140
5
0
30 May 2022
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in
  Multi-Class Classification
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
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks
Ping Li
Weijie Zhao
BDL
53
11
0
07 Jan 2022
Selecting a number of voters for a voting ensemble
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
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
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
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets
Mihaela Găman
Radu Tudor Ionescu
30
6
0
07 Oct 2020
Machine-learning-enhanced time-of-flight mass spectrometry analysis
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
20
24
0
02 Oct 2020
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision
  Tree-Based Ensemble Methods
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
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
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
GBDT-MO: Gradient Boosted Decision Trees for Multiple Outputs
Zhendong Zhang
Cheolkon Jung
44
135
0
10 Sep 2019
Gradient Boosting Machine: A Survey
Gradient Boosting Machine: A Survey
Zhiyuan He
Danchen Lin
Thomas Lau
Mike Wu
SyDaAI4CE
26
30
0
19 Aug 2019
An Experimental Evaluation of Large Scale GBDT Systems
An Experimental Evaluation of Large Scale GBDT Systems
Fangcheng Fu
Jiawei Jiang
Yingxia Shao
Tengjiao Wang
69
34
0
03 Jul 2019
Formal Verification of Decision-Tree Ensemble Model and Detection of its
  Violating-input-value Ranges
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
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
Jun-Kun Wang
Xiaoyun Li
Belhal Karimi
Ping Li
ODL
48
1
0
04 Mar 2019
Gradient and Newton Boosting for Classification and Regression
Gradient and Newton Boosting for Classification and Regression
Fabio Sigrist
89
62
0
09 Aug 2018
Second Language Acquisition Modeling: An Ensemble Approach
Second Language Acquisition Modeling: An Ensemble Approach
A. Osika
Susanna Nilsson
A. Sydorchuk
Faruk Şahin
Anders Huss
AI4Ed
26
9
0
09 Jun 2018
Several Tunable GMM Kernels
Several Tunable GMM Kernels
Ping Li
34
13
0
08 May 2018
Compact Multi-Class Boosted Trees
Compact Multi-Class Boosted Trees
Natalia Ponomareva
Thomas Colthurst
Gilbert Hendry
Salem Haykal
Soroush Radpour
147
20
0
31 Oct 2017
Generating Compact Tree Ensembles via Annealing
Generating Compact Tree Ensembles via Annealing
Gitesh Dawer
Yangzi Guo
Adrian Barbu
26
0
0
16 Sep 2017
LogitBoost autoregressive networks
LogitBoost autoregressive networks
M. Goessling
TPM
32
5
0
22 Mar 2017
Tunable GMM Kernels
Tunable GMM Kernels
Ping Li
50
8
0
09 Jan 2017
Stability selection for component-wise gradient boosting in multiple
  dimensions
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
Linearized GMM Kernels and Normalized Random Fourier Features
Ping Li
52
10
0
18 May 2016
A Comparison Study of Nonlinear Kernels
A Comparison Study of Nonlinear Kernels
Ping Li
31
1
0
21 Mar 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
837
39,664
0
09 Mar 2016
Min-Max Kernels
Min-Max Kernels
Ping Li
117
5
0
05 Mar 2015
CoRE Kernels
CoRE Kernels
Ping Li
60
7
0
24 Apr 2014
Feature Selection with Annealing for Computer Vision and Big Data
  Learning
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
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem
Peng Sun
Mark D. Reid
Jie Zhou
70
13
0
18 Oct 2011
A theory of multiclass boosting
A theory of multiclass boosting
Indraneel Mukherjee
Robert Schapire
221
141
0
15 Aug 2011
b-Bit Minwise Hashing for Large-Scale Linear SVM
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
Fast ABC-Boost for Multi-Class Classification
Ping Li
102
5
0
25 Jun 2010
Adaptive Base Class Boost for Multi-class Classification
Adaptive Base Class Boost for Multi-class Classification
Ping Li
113
51
0
08 Nov 2008
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