140 search results - page 10 / 28 » Regression with the optimised combination technique |
JUCS
2008
13 years 7 months ago
2008
: This paper considers the problem of resource allocation in the service industries approached from an agent-based perspective. Agent technologies seem to be well suited to this do...
CGF
2010
13 years 7 months ago
2010
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
NIPS
2004
13 years 9 months ago
2004
The problem of learning a sparse conic combination of kernel functions or kernel matrices for classification or regression can be achieved via the regularization by a block 1-norm...
TASLP
2008
13 years 7 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...
ACSD
2010
IEEE
13 years 5 months ago
2010
IEEE
Self-timed circuits present an attractive solution to the problem of process variation. However, implementing selftimed combinational logic can be complex and expensive. This pape...