Sciweavers

8 search results - page 1 / 2
» An Empirical Study of Building Compact Ensembles
Sort
View
WAIM
2004
Springer
13 years 10 months ago
An Empirical Study of Building Compact Ensembles
Abstract. Ensemble methods can achieve excellent performance relying on member classifiers’ accuracy and diversity. We conduct an empirical study of the relationship of ensemble...
Huan Liu, Amit Mandvikar, Jigar Mody
ECML
2005
Springer
13 years 10 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
RSFDGRC
2005
Springer
117views Data Mining» more  RSFDGRC 2005»
13 years 10 months ago
Dependency Bagging
In this paper, a new variant of Bagging named DepenBag is proposed. This algorithm obtains bootstrap samples at first. Then, it employs a causal discoverer to induce from each sam...
Yuan Jiang, Jinjiang Ling, Gang Li, Honghua Dai, Z...
FLAIRS
2008
13 years 7 months ago
Machine Learning to Predict the Incidence of Retinopathy of Prematurity
Retinopathy of Prematurity (ROP) is a disorder afflicting prematurely born infants. ROP can be positively diagnosed a few weeks after birth. The goal of this study is to build an ...
Aniket Ray, Vikas Kumar, Balaraman Ravindran, Ling...
COR
2011
12 years 12 months ago
MIP models for connected facility location: A theoretical and computational study
This article comprises the first theoretical and computational study on mixed integer programming (MIP) models for the connected facility location problem (ConFL). ConFL combines...
Stefan Gollowitzer, Ivana Ljubic