843 search results - page 52 / 169 » Learning aspect models with partially labeled data |
120
click to vote
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
138
click to vote
ML
2008
ACM
15 years 4 months ago
2008
ACM
In this paper, we pose a novel research problem for machine learning that involves constructing a process model from continuous data. We claim that casting learned knowledge in ter...
120
click to vote
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
142
click to vote
BMCV
2000
Springer
15 years 8 months ago
2000
Springer
We here describe a view-based system for the pose-independent representation of objects without making reference to 3-D models. Input to the system is a collection of pictures cov...
128
click to vote
CIKM
2011
Springer
14 years 4 months ago
2011
Springer
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...