558 search results - page 16 / 112 » Structural Modelling with Sparse Kernels |
128
click to vote
ICML
2008
IEEE
16 years 2 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
114
click to vote
TASLP
2008
15 years 1 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
146
click to vote
JMLR
2012
13 years 4 months ago
2012
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
140
click to vote
HPCC
2005
Springer
15 years 7 months ago
2005
Springer
Abstract. We improve the performance of sparse matrix-vector multiplication (SpMV) on modern cache-based superscalar machines when the matrix structure consists of multiple, irregu...
110
click to vote
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...