hyperparameter造句

例句与造句

1. The extent of this connectivity is a hyperparameter called the receptive field of the neuron.
2. The new mean hyperparameter is once again a weighted average, this time weighted by the relative numbers of observations.
3. where \ gamma is a hyperparameter that controls how much the algorithm will prefer simpler functions to functions that fit the data better.
4. Grid search suffers from the curse of dimensionality, but is often embarrassingly parallel because typically the hyperparameter settings it evaluates are independent of each other.
5. One can analogously call the posterior distribution on the hyperparameter the hyperposterior, and, if these are in the same family, call them conjugate hyperdistributions or a conjugate hyperprior.
6. It's difficult to find hyperparameter in a sentence. 用hyperparameter造句挺难的
7. The parameter \ mu is called the hyperparameter, while its distribution given by \ text { N } ( 0, 1 ) is an example of a hyperprior distribution.
8. Similarly, one may use a prior distribution with a range for a hyperparameter, perhaps reflecting uncertainty in the correct prior to take, and reflect this in a range for final uncertainty.
9. As with the term " hyperparameter, " the use of " hyper " is to distinguish it from a prior distribution of a parameter of the model for the underlying system.
10. In Bayesian statistics, a "'hyperparameter "'is a parameter of a prior distribution; the term is used to distinguish them from parameters of the model for the underlying system under analysis.
11. Additional levels are possible : For example, people might be grouped by cities, and the city-level regression coefficients grouped by state, and the state-level coefficients generated from a single hyper-hyperparameter.
12. For example, a typical soft-margin RBF kernel has at least two hyperparameters that need to be tuned for good performance on unseen data : a regularization constant " C " and a kernel hyperparameter ?.
13. Instead of using a single value for a given hyperparameter, one can instead consider a probability distribution of the hyperparameter itself; this is called a " hyperprior . " In principle, one may iterate this, calling parameters of a hyperprior " hyperhyperparameters, " and so forth.
14. Instead of using a single value for a given hyperparameter, one can instead consider a probability distribution of the hyperparameter itself; this is called a " hyperprior . " In principle, one may iterate this, calling parameters of a hyperprior " hyperhyperparameters, " and so forth.
15. If all parameters are scalar values, then this means that there will be one more hyperparameter than parameter; but this also applies to vector-valued and matrix-valued parameters . ( See the general article on the exponential family, and consider also the Wishart distribution, conjugate prior of the covariance matrix of a multivariate normal distribution, for an example where a large dimensionality is involved .)