890 search results - page 83 / 178 » Learning a Generative Model for Structural Representations |
ACII
2011
Springer
12 years 9 months ago
2011
Springer
Affect plays a vital role in learning. During tutoring, particular affective states may benefit or detract from student learning. A key cognitiveaffective state is confusion, which...
NN
1997
Springer
14 years 1 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
JETAI
1998
13 years 8 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
IJCAI
1997
13 years 10 months ago
1997
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...