22 search results - page 4 / 5 » Reviewer Profiling Using Sparse Matrix Regression |
DSMML
2004
Springer
13 years 10 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
PAMI
2012
11 years 7 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
VOSS
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The paper presents a survey of out-of-core methods available for the analysis of large Markov chains on single workstations. First, we discuss the main sparse matrix stor...
BMCBI
2008
13 years 5 months ago
2008
Background: Prediction of protein solvent accessibility, also called accessible surface area (ASA) prediction, is an important step for tertiary structure prediction directly from...
SIAMMAX
2010
12 years 12 months ago
2010
We propose practical stopping criteria for the iterative solution of sparse linear least squares (LS) problems. Although we focus our discussion on the algorithm LSQR of Paige and ...