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Found 9 papers, 0 papers with code
Tensor Shape Search for Optimum Data Compression
Various tensor decomposition methods have been proposed for data compression.
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling
Recently, low-rank tensor methods have been developed to mitigate this issue, but two fundamental challenges remain open: how to automatically determine the tensor rank and how to adaptively pick the informative simulation samples.
Active Sampling for Accelerated MRI with Low-Rank Tensors
In this paper, we introduce an active low-rank tensor model for fast MR imaging.
An evidential Markov decision making model
However, the state is allowed to be uncertain in the EM model before the final decision is made.
Quantum Mechanical Approach to Modelling Reliability of Sensor Reports
Dempster-Shafer evidence theory is wildly applied in multi-sensor data fusion.
A quantum dynamic belief model to explain the interference effects of categorization on decision making
However, the categorization process may interfere the decision making result and the law of total probability can be violated in some situations.
Evidential supplier selection based on interval data fusion
However, the weights of criteria are kept as interval numbers to generate interval BPAs and do the fusion of interval BPAs.
A new belief Markov chain model and its application in inventory prediction
The new belief Markov chain model overcomes the shortcomings of classical Markov chain and has an efficient ability in dealing with uncertain information.
A quantum dynamic belief decision making model
The uncertainty in actions is represented as an extra uncertainty state.
