957 search results - page 131 / 192 » Motion Planning with Uncertainty |
CONSTRAINTS
2006
13 years 10 months ago
2006
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
ITSSA
2006
13 years 10 months ago
2006
: The problem of patient scheduling in hospitals is characterized by high uncertainty and dynamics in patient treatments. Additional complexity in the planning and coordination pro...
JMLR
2008
13 years 10 months ago
2008
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
INTERSPEECH
2010
13 years 4 months ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
ARTMED
2006
13 years 10 months ago
2006
Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatm...