824 search results - page 83 / 165 » Weighted Low-Rank Approximations |
NC
1998
14 years 11 months ago
1998
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
JAIR
2006
14 years 9 months ago
2006
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
SIAMCOMP
1998
14 years 9 months ago
1998
This paper introduces a near-linear time sequential algorithm for constructing a sparse neighborhood cover. This implies analogous improvements (from quadratic to near-linear time)...
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
JMLR
2010
14 years 4 months ago
2010
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...