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 78 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

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.