Learn on Source, Refine on Target:A Model Transfer Learning Framework
with Random Forests

v1v2 (latest)

Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests

4 November 2015

ArXiv (abs)PDF HTML

Papers citing "Learn on Source, Refine on Target:A Model Transfer Learning Framework with Random Forests"

8 / 8 papers shown

Title
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm Pascal Germain A. Lacasse François Laviolette M. Marchand Jean-Francis Roy 56 142 0 28 Mar 2015
Selective Transfer Learning for Cross Domain Recommendation Zhongqi Lu Erheng Zhong Lili Zhao E. Xiang Weike Pan Qiang Yang 80 72 0 26 Oct 2012
Recognizing Activities and Spatial Context Using Wearable Sensors A. Subramanya A. Raj J. Bilmes Dieter Fox 108 120 0 27 Jun 2012
Domain Adaptation for Statistical Classifiers Hal Daumé D. Marcu OOD 97 912 0 28 Sep 2011
A Model of Inductive Bias Learning Jonathan Baxter 109 1,214 0 01 Jun 2011
Learning from Multiple Outlooks Maayan Harel Shie Mannor 162 93 0 30 Apr 2010
Frustratingly Easy Domain Adaptation Hal Daumé 123 1,800 0 10 Jul 2009
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 332 292 0 09 Mar 2009