282 search results - page 5 / 57 » Learning graphical models for hypothesis testing and classif... |
CORR
2006
Springer
13 years 8 months ago
2006
Springer
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
ETRA
2008
ACM
13 years 10 months ago
2008
ACM
We investigate consciously controlled pupil size as an input modality. Pupil size is affected by various processes, e.g., physical activation, strong emotional experiences and cog...
NIPS
2003
13 years 9 months ago
2003
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Recent work has shown that one can learn the structure of Gaussian Graphical Models by imposing an L1 penalty on the precision matrix, and then using efficient convex optimization...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...