4591 search results - page 267 / 919 » Learning from Dyadic Data |
149
click to vote
KDD
2005
ACM
15 years 10 months ago
2005
ACM
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
160
click to vote
GECCO
2008
Springer
15 years 6 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
130
click to vote
TNN
1998
15 years 4 months ago
1998
—A structured organization of information is typically required by symbolic processing. On the other hand, most connectionist models assume that data are organized according to r...
142
Voted
IJCAI
2007
15 years 6 months ago
2007
Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
155
click to vote
BMCBI
2008
15 years 5 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...