Sciweavers

627 search results - page 7 / 126
» Structural Learning of Activities from Sparse Datasets
Sort
View
ICML
2009
IEEE
14 years 9 months ago
Sparse Gaussian graphical models with unknown block structure
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
Benjamin M. Marlin, Kevin P. Murphy
ML
2002
ACM
163views Machine Learning» more  ML 2002»
13 years 8 months ago
Structural Modelling with Sparse Kernels
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
Steve R. Gunn, Jaz S. Kandola
CVPR
2010
IEEE
14 years 5 months ago
Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions
Psychologists have proposed that many human-object interaction activities form unique classes of scenes. Recognizing these scenes is important for many social functions. To enable...
Bangpeng Yao, Li Fei-Fei
ICML
2010
IEEE
13 years 9 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
ALT
2008
Springer
14 years 5 months ago
Active Learning of Group-Structured Environments
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
Gábor Bartók, Csaba Szepesvár...