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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
13 years 12 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
COLT
2000
Springer
13 years 11 months ago
Leveraging for Regression
In this paper we examine master regression algorithms that leverage base regressors by iteratively calling them on modified samples. The most successful leveraging algorithm for c...
Nigel Duffy, David P. Helmbold
CVPR
2007
IEEE
14 years 9 months ago
A boosting regression approach to medical anatomy detection
The state-of-the-art object detection algorithm learns a binary classifier to differentiate the foreground object from the background. Since the detection algorithm exhaustively s...
Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu
ICPR
2010
IEEE
13 years 6 months ago
Boosting Alzheimer Disease Diagnosis Using PET Images
—Alzheimer’s disease (AD) final is one of the most frequent type of dementia. Currently there is no cure for AD and early diagnosis is crucial to the development of treatments...
Margarida Silveira, Jorge S. Marques
NIPS
2001
13 years 8 months ago
On the Convergence of Leveraging
We give an unified convergence analysis of ensemble learning methods including e.g. AdaBoost, Logistic Regression and the Least-SquareBoost algorithm for regression. These methods...
Gunnar Rätsch, Sebastian Mika, Manfred K. War...