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» Some observations on HC-128
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AAAI
2008
14 years 4 days ago
Computing Observation Vectors for Max-Fault Min-Cardinality Diagnoses
Model-Based Diagnosis (MBD) typically focuses on diagnoses, minimal under some minimality criterion, e.g., the minimal-cardinality set of faulty components that explain an observa...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
IJCAI
2007
13 years 11 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ICST
2010
IEEE
13 years 8 months ago
Does Hardware Configuration and Processor Load Impact Software Fault Observability?
Intermittent failures and nondeterministic behavior complicate and compromise the effectiveness of software testing and debugging. To increase the observability of software faults,...
Raza Abbas Syed, Brian Robinson, Laurie A. William...
IJRR
2010
162views more  IJRR 2010»
13 years 8 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
JAIR
2000
152views more  JAIR 2000»
13 years 9 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht