864 search results - page 16 / 173 » Selective Attention Improves Learning |
148
click to vote
SDM
2008
SIAM
15 years 2 months ago
2008
SIAM
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
MLG
2007
Springer
15 years 6 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...
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
105
click to vote
CBMS
2008
IEEE
15 years 2 months ago
2008
IEEE
In the real world concepts are often not stable but change over time. A typical example of this in the biomedical context is antibiotic resistance, where pathogen sensitivity may ...
106
Voted
MLDM
2007
Springer
15 years 6 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...