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When u is high dimensional, for example when (1) arises as the result of discretising a partial differential equation such as the cable equation on a dendrite or axon [1, 2], finding the linearisation about a fixed point, as needed to determine stability, may also be computationally challenging.
Although the estimation of the switch model seems too high dimensional for datasets with many switches, this could be overcome by assigning probability distributions to the on- and off-times in the framework of a Bayesian hierarchical model.
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We tried to run INSCY by allocating upto 12GB RAM but it failed to run for this high dimensional dataset for any of the ε value.
From these results, we can say that we need high dimensional parameters for spherical-harmonics function for accurate reconstruction of 4-D light field.
Aluminium: lightweight; high dimensional stability for complex shapes and thin walls; good corrosion resistance; good mechanical properties; high thermal and electrical conductivity; retains strength at high temperatures.
Contrary to most other classification methods and due to the way data are represented through kernels, SVMs can tackle high dimensional data (for example microarray data).
In the third section, we introduce and analyze a new high dimensional model for the NF- κB signalling.
His training has covered classical statistical theory and modern statistical methods for high dimensional data including machine learning for data science applications.
Therefore, we designed a very high dimensional feature vector for CRF to perform gene mention tagging.
16 We estimated high dimensional propensity scores for all patients at each site.
We essentially transform this unit record data into a large, high dimensional contingency table for each time step.
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