119 search results - page 21 / 24 » Sparse kernel methods for high-dimensional survival data |
BIBM
2008
IEEE
13 years 9 months ago
2008
IEEE
Recent studies in protein sequence analysis have leveraged the power of unlabeled data. For example, the profile and mismatch neighborhood kernels have shown significant improveme...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
HPCN
1997
Springer
13 years 11 months ago
1997
Springer
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
KAIS
2008
13 years 7 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...