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» A Boosting Algorithm for Regression
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119
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IJAR
2010
97views more  IJAR 2010»
15 years 1 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
129
Voted
JMLR
2010
135views more  JMLR 2010»
15 years 29 days ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
15 years 28 days ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
134
Voted
BMVC
2010
15 years 17 days ago
Using Context to Create Semantic 3D Models of Indoor Environments
Semantic 3D models of buildings encode the geometry as well as the identity of key components of a facility, such as walls, floors, and ceilings. Manually constructing such a mode...
Xuehan Xiong, Daniel Huber
128
Voted
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
15 years 12 days ago
Learning an Affine Transformation for Non-linear Dimensionality Reduction
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...
Pooyan Khajehpour Tadavani, Ali Ghodsi