1254 search results - page 140 / 251 » Making Hard Problems Harder |
104
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
92
Voted
SIGSOFT
2003
ACM
16 years 1 months ago
2003
ACM
Although graphical user interfaces (GUIs) constitute a large part of the software being developed today and are typically created using rapid prototyping, there are no effective r...
133
Voted
WWW
2009
ACM
16 years 1 months ago
2009
ACM
Transferring knowledge from one domain to another is challenging due to a number of reasons. Since both conditional and marginal distribution of the training data and test data ar...
144
click to vote
KDD
2008
ACM
16 years 1 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
109
Voted
KDD
2007
ACM
16 years 1 months ago
2007
ACM
The importance of dominance and skyline analysis has been well recognized in multi-criteria decision making applications. Most previous studies assume a fixed order on the attribu...