1215 search results - page 87 / 243 » Dimensions of machine learning in design |
SEAL
2010
Springer
13 years 7 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
UIST
2009
ACM
14 years 3 months ago
2009
ACM
Interaction with large unstructured datasets is difficult because existing approaches, such as keyword search, are not always suited to describing concepts corresponding to the di...
JMLR
2010
13 years 3 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
SLSFS
2005
Springer
14 years 2 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
NIPS
1993
13 years 10 months ago
1993
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...