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ISMM
2009
Springer
15 years 4 months ago
Discrete Driver Assistance
Applying computer technology, such as computer vision in driver assistance, implies that processes and data are modeled as being discretized rather than being continuous. The area ...
Reinhard Klette, Ruyi Jiang, Sandino Morales, Tobi...
BMCBI
2010
229views more  BMCBI 2010»
14 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ICDE
2012
IEEE
269views Database» more  ICDE 2012»
13 years 4 days ago
A Deep Embedding of Queries into Ruby
—We demonstrate SWITCH, a deep embedding of relational queries into RUBY and RUBY on RAILS. With SWITCH, there is no syntactic or stylistic difference between RUBY programs that ...
Torsten Grust, Manuel Mayr
ATAL
2007
Springer
15 years 3 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
EOR
2008
123views more  EOR 2008»
14 years 9 months ago
A combined approach for segment-specific market basket analysis
Market baskets arise from consumers' shopping trips and include items from multiple categories that are frequently chosen interdependently from each other. Explanatory models...
Yasemin Boztug, Thomas Reutterer