Robust LogitBoost and Adaptive Base Class (ABC) LogitBoost

15 March 2012

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 28 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 39 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 28 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 54 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 47 3 0 23 May 2011
Fast ABC-Boost for Multi-Class Classification Ping Li 93 5 0 25 Jun 2010
Adaptive Base Class Boost for Multi-class Classification Ping Li 113 51 0 08 Nov 2008