2949 search results - page 32 / 590 » Universal Sparse Modeling |
105
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TSP
2010
14 years 7 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
129
Voted
ICPP
2009
IEEE
15 years 7 months ago
2009
IEEE
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
98
Voted
EVOW
2004
Springer
15 years 4 months ago
2004
Springer
This paper presents an attempt to find a statistical model that predicts the hardness of the University Course Timetabling Problem by analyzing instance properties. The model may l...
115
Voted
UAI
2008
15 years 1 months ago
2008
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
116
Voted
ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...