Results 21 to 30 of about 9,617,273 (323)
Bivariate measure of redundant information [PDF]
We define a measure of redundant information based on projections in the space of probability distributions. Redundant information between random variables is information that is shared between those variables. But in contrast to mutual information, redundant information denotes information that is shared about the outcome of a third variable ...
Harder M., Salge C., Polani D.
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Methodological Support for Applying the Method of Majority Reservation in Measuring Channels
Introduction. For hazardous industries, the reliability of information and measuring equipment must ensure an almost complete absence of failure events, with their probability as low as 10-6.
N. V. Minchev
doaj +1 more source
The fusion of redundant SEVA measurements [PDF]
The self-validating (SEVA) sensor carries out an internal quality assessment, and generates, for each measurement, standard metrics for its quality, including online uncertainty. This paper discusses consistency checking and data fusion between several SEVA sensors observing the same measurand.
Mihaela Duta, Manus P. Henry
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Survivors of redundancy: a justice perspective [PDF]
Organisations in and around Britain continue to restructure and downsize their workforce. Redundancies and reorganisation of staff remains a major aspect of internal organisational change.
Campbell, Fiona
core +4 more sources
Redundancy is the presence of different elements with the same functionality. In software, redundancy is useful (and used) in many ways, for example for fault tolerance and reliability engineering, and in self-adaptive and self-checking programs. However, despite the many uses, we still do not know how to measure software redundancy to support a proper
Antonio Carzaniga +2 more
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Measures of degeneracy and redundancy in biological networks [PDF]
Degeneracy, the ability of elements that are structurally different to perform the same function, is a prominent property of many biological systems ranging from genes to neural networks to evolution itself. Because structurally different elements may produce different outputs in different contexts, degeneracy should be distinguished from redundancy ...
G, Tononi, O, Sporns, G M, Edelman
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Compressive Sensing with Redundant Dictionaries and Structured Measurements [PDF]
Consider the problem of recovering an unknown signal from undersampled measurements, given the knowledge that the signal has a sparse representation in a specified dictionary $\bm{D}$. This problem is now understood to be well-posed and efficiently solvable under suitable assumptions on the measurements and dictionary if the number of measurements ...
Felix Krahmer +2 more
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Output Regulation with Redundant Measurements
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DELLI PRISCOLI, Francesco +2 more
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Modelling, control and monitoring of high redundancy actuation [PDF]
The High Redundancy Actuator (HRA) project investigates a novel approach to fault tolerant actuation, which uses a high number of small actuation elements, assembled in series and parallel in order to form a single intrinsically fault tolerant actuator ...
Davies, Jessica
core +4 more sources
Measuring Multi-Source Redundancy in Factor Graphs
Factor graphs are a ubiquitous tool for multi-source inference in robotics and multi-sensor networks. They allow for heterogeneous measurements from many sources to be concurrently represented as factors in the state posterior distribution, so that inference can be conducted via sparse graphical methods. Adding measurements from many sources can supply
Jesse Milzman +3 more
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