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 Übersetzung für 'parameter vector' von Englisch nach Deutsch
math.stat.
parameter vector
Parametervektor {m}
Teiltreffer
math.phys.
four-vector <4-vector>
Vierervektor {m}
MedTech.
velocity encoding parameter <VENC parameter>
VENC-Parameter {m}
biol.
vector
Überträger {m}
291
math.
vector
Vektor {m}
54
comp.
interrupt vector
Interruptvektor {m}
engin.
free vector
freier Vektor {m}
phys.
vector potential
Vektorpotential {n}
stat.
probability vector
Wahrscheinlichkeitsvektor {m}
distribution vectorVerbreitungs­vektor {m}
electr.phys.
Poynting vector
Poynting-Vektor {m}
biotech.
plasmid vector
Plasmidvektor {m}
optics
Jones vector
Jones-Vektor {m}
stat.
random vector
Zufallsvektor {m}
math.phys.
axial vector
Axialvektor {m}
electr.
input vector
Eingangsvektor {m}
material
Burgers vector
Burgersvektor {m}
electr.
output vector
Ausgangsvektor {m}
bot.
pollen vector
Pollenvektor {m}
phys.tech.
vector quantity
vektorielle Größe {f}
comp.tech.
attack vector
Angriffsvektor {m}
21 Übersetzungen
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Anwendungsbeispiele Englisch
  • Instead of giving a vector result, the LARS solution consists of a curve denoting the solution for each value of the L1 norm of the parameter vector.
  • In design space approximation, one is not interested in finding the optimal parameter vector but rather in the global behavior of the system.
  • Minimization of the residual error "r" for identification of the optimal parameter vector "p" follows from the difference between both output vectors using the Euclidean norm.
  • Because the variance of the estimator of a parameter vector is a matrix, the problem of "minimizing the variance" is complicated.
  • In statistics, the score (or informant) is the gradient of the log-likelihood function with respect to the parameter vector.

  • (2009) applied their version of feature hashing to multi-task learning, and in particular, spam filtering, where the input features are pairs (user, feature) so that a single parameter vector captured per-user spam filters as well as a global filter for several hundred thousand users, and found that the accuracy of the filter went up.
  • which depends on a parameter vector [...].
  • It is a compound probability distribution, where a probability vector p is drawn from a Dirichlet distribution with parameter vector [...] , and an observation drawn from a multinomial distribution with probability vector p and number of trials "n".
  • It has the key feature that it is invariant under a change of coordinates for the parameter vector [...].
  • To start a minimization, the user has to provide an initial guess for the parameter vector [...].

  • In solving an underdetermined system of linear equations, the regularization term for the parameter vector is expressed in terms of the [...] norm (taxicab geometry) of the vector.
  • Generally, it is useful and appropriate to model data from an exchangeable distribution as independently and identically distributed, given some unknown parameter vector [...] , with distribution [...].
  • The whole procedure may be summed up in the form of the following Algorithm, where the index [...] of [...] denotes the parameter vector from which the statistics vector is derived.
  • The parameter vector [...] is the causal effect on [...] of a one unit change in each element of [...] , holding all other causes of [...] constant.
  • Then the ordered probit technique will use the observations on [...] , which are a form of censored data on [...] , to fit the parameter vector [...].

  • In general, for a likelihood function depending on the parameter vector [...] that can be partitioned into [...] , and where a correspondence [...] can be determined explicitly, concentration reduces computational burden of the original maximization problem.
  • The inverted Dirichlet distribution is conjugate to the negative multinomial distribution if a generalized form of odds ratio is used instead of the categories' probabilities- if the negative multinomial parameter vector is given by [...] , by changing parameters of the negative multinomial to [...] where [...].
  • of the parameter vector, nor (in the case of a curved exponential function) the dimension [...] of the natural parameter [...] and sufficient statistic [...].
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