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» Model Minimization in Markov Decision Processes
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EAAI
2006
123views more  EAAI 2006»
13 years 8 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
QEST
2007
IEEE
14 years 2 months ago
GRIP: Generic Representatives in PRISM
We give an overview of GRIP, a symmetry reduction tool for the probabilistic model checker PRISM, together with experimental results for a selection of example specifications. 1 ...
Alastair F. Donaldson, Alice Miller, David Parker
NIPS
1998
13 years 10 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
HICSS
2012
IEEE
324views Biometrics» more  HICSS 2012»
12 years 4 months ago
Extending BPMN for Business Activity Monitoring
—Real-time access to key performance indicators is necessary to ensure timeliness and effectiveness of operational business processes. The concept of Business Activity Monitoring...
Jan-Philipp Friedenstab, Christian Janiesch, Marti...
ICASSP
2009
IEEE
14 years 3 months ago
Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend
In this paper, we propose an F0 Frame Error (FFE) metric which combines Gross Pitch Error (GPE) and Voicing Decision Error (VDE) to objectively evaluate the performance of fundame...
Wei Chu, Abeer Alwan