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Learning Nonlinear Functions Using Regularized Greedy Forest
v1v2v3v4v5v6v7 (latest)

Learning Nonlinear Functions Using Regularized Greedy Forest

5 September 2011
Rie Johnson
Tong Zhang
ArXiv (abs)PDFHTML

Papers citing "Learning Nonlinear Functions Using Regularized Greedy Forest"

22 / 22 papers shown
Automatic Detection of Industry Sectors in Legal Articles Using Machine
  Learning Approaches
Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches
Hui Yang
Stella Hadjiantoni
Yunfei Long
Ruta Petraityte
Erlangen
AILaw
268
2
0
08 Mar 2023
A Comparison of Decision Forest Inference Platforms from A Database
  Perspective
A Comparison of Decision Forest Inference Platforms from A Database Perspective
Hong Guan
Mahidhar Dwarampudi
Venkatesh Gunda
Hong Min
Lei Yu
Jia Zou
360
4
0
09 Feb 2023
Robust Boosting Forests with Richer Deep Feature Hierarchy
Robust Boosting Forests with Richer Deep Feature Hierarchy
Jianqiao Wangni
3DPC
270
0
0
29 Oct 2022
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes
  Prediction
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction
Mingcheng Chen
Zhenghui Wang
Zhiyun Zhao
Weinan Zhang
Xiawei Guo
...
Weiwei Tu
Yong Yu
Y. Bi
Weiqing Wang
G. Ning
228
10
0
16 Aug 2021
Latent Gaussian Model Boosting
Latent Gaussian Model BoostingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fabio Sigrist
AI4CE
357
31
0
19 May 2021
Partially Interpretable Estimators (PIE): Black-Box-Refined
  Interpretable Machine Learning
Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning
Tong Wang
Jingyi Yang
Yunyi Li
Boxiang Wang
FAtt
205
5
0
06 May 2021
Dive into Decision Trees and Forests: A Theoretical Demonstration
Dive into Decision Trees and Forests: A Theoretical Demonstration
Jinxiong Zhang
277
6
0
20 Jan 2021
A general kernel boosting framework integrating pathways for predictive
  modeling based on genomic data
A general kernel boosting framework integrating pathways for predictive modeling based on genomic dataACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2020
Li Zeng
Zhaolong Yu
Yiliang Zhang
Hongyu Zhao
LM&MA
163
0
0
26 Aug 2020
Generalizing Gain Penalization for Feature Selection in Tree-based
  Models
Generalizing Gain Penalization for Feature Selection in Tree-based ModelsIEEE Access (IEEE Access), 2020
Bruna D. Wundervald
Andrew C. Parnell
Katarina Domijan
339
7
0
12 Jun 2020
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning
  Rates and Early Stopping
Fully-Corrective Gradient Boosting with Squared Hinge: Fast Learning Rates and Early StoppingNeural Networks (NN), 2020
Jinshan Zeng
Min Zhang
Shao-Bo Lin
233
20
0
01 Apr 2020
Gradient Boosting Neural Networks: GrowNet
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli
Xuanqing Liu
Zhengming Xing
Avradeep Bhowmik
Khoa D. Doan
S. Keerthi
FedML
323
101
0
19 Feb 2020
The Tree Ensemble Layer: Differentiability meets Conditional Computation
The Tree Ensemble Layer: Differentiability meets Conditional ComputationInternational Conference on Machine Learning (ICML), 2020
Hussein Hazimeh
Natalia Ponomareva
P. Mol
Zhenyu Tan
Rahul Mazumder
UQCVAI4CE
682
93
0
18 Feb 2020
Robust Data Preprocessing for Machine-Learning-Based Disk Failure
  Prediction in Cloud Production Environments
Robust Data Preprocessing for Machine-Learning-Based Disk Failure Prediction in Cloud Production Environments
Shujie Han
Jun Wu
Erci Xu
Cheng He
P. Lee
Yi Qiang
Qixing Zheng
Tao Huang
Zixi Huang
Rui Li
120
14
0
20 Dec 2019
A Fast Sampling Gradient Tree Boosting Framework
A Fast Sampling Gradient Tree Boosting Framework
D. Zhou
Zhongming Jin
Tong Zhang
106
2
0
20 Nov 2019
Gradient and Newton Boosting for Classification and Regression
Gradient and Newton Boosting for Classification and Regression
Fabio Sigrist
505
71
0
09 Aug 2018
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision
  Forest
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest
Manqing Dong
Lina Yao
Xianzhi Wang
B. Benatallah
Shuai Zhang
270
6
0
21 Jun 2018
A pathway-based kernel boosting method for sample classification using
  genomic data
A pathway-based kernel boosting method for sample classification using genomic data
Li Zeng
Zhaolong Yu
Hongyu Zhao
271
3
0
11 Mar 2018
GPU-acceleration for Large-scale Tree Boosting
GPU-acceleration for Large-scale Tree Boosting
Huan Zhang
Si Si
Cho-Jui Hsieh
237
97
0
26 Jun 2017
FastBDT: A speed-optimized and cache-friendly implementation of
  stochastic gradient-boosted decision trees for multivariate classification
FastBDT: A speed-optimized and cache-friendly implementation of stochastic gradient-boosted decision trees for multivariate classification
Thomas Keck
159
31
0
20 Sep 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
1.7K
52,129
0
09 Mar 2016
Particle Gibbs for Bayesian Additive Regression Trees
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan
Daniel M. Roy
Yee Whye Teh
245
25
0
16 Feb 2015
Scalable Nonlinear Learning with Adaptive Polynomial Expansions
Scalable Nonlinear Learning with Adaptive Polynomial ExpansionsNeural Information Processing Systems (NeurIPS), 2014
Alekh Agarwal
A. Beygelzimer
Daniel J. Hsu
John Langford
Matus Telgarsky
265
5
0
02 Oct 2014
1
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