794 search results - page 153 / 159 » Optimization Techniques for Semi-Supervised Support Vector M... |
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
DEXA
2000
Springer
15 years 2 months ago
2000
Springer
Abstract. Bitmap indices are popular multi-dimensional data structures for accessing read-mostly data such as data warehouse (DW) applications, decision support systems (DSS) and o...
85
Voted
IPPS
1997
IEEE
15 years 1 months ago
1997
IEEE
Current parallelizing compilers for message-passing machines only support a limited class of data-parallel applications. One method for eliminating this restriction is to combine ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
CGO
2010
IEEE
15 years 4 months ago
2010
IEEE
Tiling is a widely used loop transformation for exposing/exploiting parallelism and data locality. Effective use of tiling requires selection and tuning of the tile sizes. This is...