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» Regression Relevance Models for Data Fusion
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UAI
2008
13 years 8 months ago
Feature Selection via Block-Regularized Regression
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
Seyoung Kim, Eric P. Xing
BMEI
2008
IEEE
14 years 1 months ago
Performance Evaluation and Fusion of Methods for Early Detection of Alzheimer Disease
The number of people that develop Alzheimer’s Disease (AD) is rapidly rising, while the initial diagnosis and care of AD patients typically falls on non-specialist and still tak...
Brahim Hamadicharef, Cuntai Guan, Emmanuel C. Ifea...
ATAL
2006
Springer
13 years 11 months ago
Scalable and reliable data delivery in mobile ad hoc sensor networks
This paper studies scalable data delivery algorithms in mobile ad hoc sensor networks with node and link failures. Many algorithms have been developed for data delivery and fusion...
Bin Yu, Paul Scerri, Katia P. Sycara, Yang Xu, Mic...
KDD
2005
ACM
130views Data Mining» more  KDD 2005»
14 years 7 months ago
Regression error characteristic surfaces
This paper presents a generalization of Regression Error Characteristic (REC) curves. REC curves describe the cumulative distribution function of the prediction error of models an...
Luís Torgo
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 10 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella