2610 search results - page 335 / 522 » Computational Probabilistic Non-interference |
131
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
132
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
143
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
128
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
155
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...