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» A boosting approach for motif modeling using ChIP-chip data
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LOCA
2009
Springer
15 years 2 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele
ICML
2005
IEEE
15 years 10 months ago
Efficient discriminative learning of Bayesian network classifier via boosted augmented naive Bayes
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
BMCBI
2008
136views more  BMCBI 2008»
14 years 10 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
ICML
2009
IEEE
15 years 10 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
EDBT
2008
ACM
194views Database» more  EDBT 2008»
15 years 10 months ago
XCraft: boosting the performance of active XML materialization
An active XML (AXML) document contains tags representing calls to Web services. Therefore, retrieving its contents consists in materializing its data elements by invoking the embe...
Gabriela Ruberg, Marta Mattoso