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» Tracking with general regression
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ML
2008
ACM
14 years 9 months ago
A linear fit gets the correct monotonicity directions
Let f be a function on Rd that is monotonic in every variable. There are 2d possible assignments to the directions of monotonicity (two per variable). We provide sufficient condit...
Malik Magdon-Ismail, Joseph Sill
ICASSP
2009
IEEE
15 years 4 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
72
Voted
DGO
2003
79views Education» more  DGO 2003»
14 years 11 months ago
Finding Outliers in Models of Spatial Data
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
David W. Scott, J. Blair Christian
NN
1998
Springer
148views Neural Networks» more  NN 1998»
14 years 9 months ago
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...
Gail A. Carpenter, Natalya Markuzon
RAS
2002
168views more  RAS 2002»
14 years 9 months ago
Neural predictive control for a car-like mobile robot
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
Dongbing Gu, Huosheng Hu