436 search results - page 5 / 88 » Performance Optimization and Modeling of Blocked Sparse Kern... |
ML
2002
ACM
13 years 7 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
ICS
2010
Tsinghua U.
14 years 8 days ago
2010
Tsinghua U.
We explore the intersection between an emerging class of architectures and a prominent workload: GPGPUs (General-Purpose Graphics Processing Units) and regular expression matching...
PRIB
2009
Springer
14 years 2 months ago
2009
Springer
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
NIPS
2008
13 years 9 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
The problem of reliable communication over unknown frequency-selective block-fading channels with sparse impulse responses is considered. In particular, discrete-time impulse respo...