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ICML
2006
IEEE
14 years 10 months ago
Regression with the optimised combination technique
We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
Jochen Garcke
XPU
2004
Springer
14 years 3 months ago
Going Interactive: Combining Ad-Hoc and Regression Testing
Abstract. Different kinds of unit testing activities are used in practice. Organised unit testing (regression testing or test-first activities) are very popular in commercial pract...
Michael Kölling, Andrew Patterson
JMLR
2008
151views more  JMLR 2008»
13 years 9 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
BMCBI
2007
139views more  BMCBI 2007»
13 years 9 months ago
Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
Andrew S. Peek
PAMI
2006
208views more  PAMI 2006»
13 years 9 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis