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Adapted tree boosting for Transfer Learning
v1v2 (latest)

Adapted tree boosting for Transfer Learning

27 February 2020
Wenjing Fang
Chaochao Chen
Bowen Song
Li Wang
Jun Zhou
Kenny Q. Zhu
ArXiv (abs)PDFHTML

Papers citing "Adapted tree boosting for Transfer Learning"

9 / 9 papers shown
Title
Unpack Local Model Interpretation for GBDT
Unpack Local Model Interpretation for GBDT
Wenjing Fang
Jun Zhou
Xiaolong Li
Kenny Q. Zhu
FedMLFAttAI4CE
29
10
0
03 Apr 2020
Distributed Deep Forest and its Application to Automatic Detection of
  Cash-out Fraud
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud
Ya-Lin Zhang
Jun Zhou
Wenhao Zheng
Ji Feng
Longfei Li
...
Chaochao Chen
Xiaolong Li
Zhi Zhou
Yuan
QI
44
73
0
11 May 2018
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
96
2,460
0
21 May 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
814
39,075
0
09 Mar 2016
Learn on Source, Refine on Target:A Model Transfer Learning Framework
  with Random Forests
Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests
N. Segev
Maayan Harel
Shie Mannor
K. Crammer
Ran El-Yaniv
55
106
0
04 Nov 2015
Simultaneous Deep Transfer Across Domains and Tasks
Simultaneous Deep Transfer Across Domains and Tasks
Eric Tzeng
Judy Hoffman
Trevor Darrell
Kate Saenko
OOD
85
1,373
0
08 Oct 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
223
5,211
0
10 Feb 2015
A Model of Inductive Bias Learning
A Model of Inductive Bias Learning
Jonathan Baxter
109
1,217
0
01 Jun 2011
Sample Selection Bias Correction Theory
Sample Selection Bias Correction Theory
Corinna Cortes
M. Mohri
Michael Riley
Afshin Rostamizadeh
116
350
0
19 May 2008
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