Exact(1)
Propensity score matching, a key component of propensity score methods, normally matches units based on the distance between point estimates of the propensity scores.
Similar(59)
Interval matching's approach methodologically sounds more meaningful than its competing matching methods because interval matching develop a more "scientific" criterion for matching units using confidence intervals.
Further, the strategy of decomposition & coordination is proposed to optimize network and match units.
Therefore, only three ZSAD matching units are needed to perform the estimation in one clock cycle.
An example concerns matching data sets when the matching units were obtained at very different time points.
Both HCD and the RF-substrate holder are run with synchronized RF-power generators and automated impedance matching units.
Methods for visualising maps are described including best matching units, hit histograms, unified distance matrices and component planes.
The simulated network of multiple Matching Units provided estimations of object-dependent 5-finger grasp configurations with endpoint positional errors in the order of a few millimeters.
The proposed model is based on a multi-network architecture which incorporates multiple Matching Units trained by a statistical learning algorithm (LWPR).
A novel segmentation algorithm based on the number of hits experienced by Best Matching Units (BMU) on SOM maps is proposed.
Matching Units perform a multimodal signal integration by correlating sensory and motor information analogous to that observed in cerebral neuronal networks.
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