1880 search results - page 84 / 376 » Robust Learning - Rich and Poor |
102
click to vote
MLG
2007
Springer
15 years 8 months ago
2007
Springer
While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases that have a few or no la...
141
click to vote
ROBOCUP
2000
Springer
15 years 5 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
101
click to vote
JCAL
2002
15 years 1 months ago
2002
Common shortcomings in educational design in Higher Education have not been fully addressed during the rapid shift towards online, resource-based learning. A contributing factor to...
102
click to vote
ML
2010
ACM
15 years 12 days ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
103
click to vote
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...