1041 search results - page 144 / 209 » Two Algorithms for Inducing Causal Models from Data |
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
ICML
1998
IEEE
15 years 10 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
SAC
2008
ACM
14 years 9 months ago
2008
ACM
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
ICRA
2007
IEEE
15 years 4 months ago
2007
IEEE
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
86
Voted
WACV
2008
IEEE
15 years 4 months ago
2008
IEEE
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...