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» Machine-Learning Applications of Algorithmic Randomness
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CVPR
2009
IEEE
1528views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Structured Output-Associative Regression
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
Liefeng Bo and Cristian Sminchisescu
CVPR
2005
IEEE
16 years 3 months ago
Multi-Output Regularized Projection
Dimensionality reduction via feature projection has been widely used in pattern recognition and machine learning. It is often beneficial to derive the projections not only based o...
Kai Yu, Shipeng Yu, Volker Tresp
ICPR
2006
IEEE
16 years 2 months ago
Precision-recall operating characteristic (P-ROC) curves in imprecise environments
Traditionally, machine learning algorithms have been evaluated in applications where assumptions can be reliably made about class priors and/or misclassification costs. In this pa...
Thomas Landgrebe, Pavel Paclík, Robert P. W...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 11 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
ICRA
2009
IEEE
125views Robotics» more  ICRA 2009»
15 years 8 months ago
Learning motor primitives for robotics
— The acquisition and self-improvement of novel motor skills is among the most important problems in robotics. Motor primitives offer one of the most promising frameworks for the...
Jens Kober, Jan Peters