3250 search results - page 380 / 650 » Parameterized Learning Complexity |
193
click to vote
ML
2002
ACM
15 years 4 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
139
click to vote
EDM
2009
15 years 2 months ago
2009
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
325
click to vote
BICA
2010
14 years 11 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
154
click to vote
TCS
2011
14 years 11 months ago
2011
The PAC-learning model is distribution-independent in the sense that the learner must reach a learning goal with a limited number of labeled random examples without any prior know...
171
click to vote
JMLR
2010
14 years 11 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...