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» Learning the Structure of Linear Latent Variable Models
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NIPS
2001
13 years 8 months ago
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, J...
PODC
2009
ACM
14 years 4 months ago
Memory models: a case for rethinking parallel languages and hardware
The era of parallel computing for the masses is here, but writing correct parallel programs remains far more difficult than writing sequential programs. Aside from a few domains,...
Sarita V. Adve
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 7 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
RAS
2006
115views more  RAS 2006»
13 years 7 months ago
Trajectory tracking control of farm vehicles in presence of sliding
In automatic guidance of agriculture vehicles, lateral control is not the only requirement. Much research work has been focused on trajectory tracking control which can provide hi...
Hao Fang, Ruixia Fan, Benoit Thuilot, Philippe Mar...
CVPR
2005
IEEE
14 years 9 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos