sparsistency
representation theorist
to the power of
like terms
Heyting algebra
Galois extension
semifield
exponential
grossone
congruence
group object
pseudorepresentation
Capelli's identity
separable extension
additive number theory
foil
morphism
gerbe
two-sided
algebra
OR
Stone space
magma
lambda calculus
algebraizability
tilting
idempotent
algebraizable
Jacobi identity
Boolean lattice
Church encoding
algebraic structure
de Bruijn index
Boolean algebra
Laplace expansion
tilde
superatomic
splitting field
semimodule
exponential equation
Jacobian
latticed
hyperstructure
eigenbrane
moonshine
d'Alembert operator
gyrocommutative
binomial theorem
self-commutator
Hodge star
constant
abstract
commutative algebra
infix notation
right total
inductively
Einstein notation
parenthesis
hypergroup
anabelian geometry
simple algebra
underlying set
free variable
Gelfond-Schneider theorem
fixed point
induce
postfix notation
projective Hilbert space
reverse Polish notation
character theory
suffix notation
Wick's theorem
completable
coinitial
field of quotients
homographic
quasivariety
abstractify
Maharam algebra
multiplicative identity
equation
mathematical notation
identity
Brauer group
catamorphism
ultrapower
practical number
bra-ket
thing
wedge
ultramatricial
tetration
abstractive
vector algebra
Hardy-Weinberg law
group
Wigner-Eckart theorem
verifiable
zroupoid

English words for 'Let mathbf b be a vector and define the support operatorname supp( mathbf b)=i: mathbf bᵢ≠0 where mathbf bᵢ is the ith element of mathbf b. Let ̂mathbf b be an estimator for mathbf b. Then sparsistency is the property that the support of the estimator converges to the true support as the number of samples grows to infinity.'

As you may have noticed, above you will find words for "Let mathbf b be a vector and define the support operatorname supp( mathbf b)=i: mathbf bᵢ≠0 where mathbf bᵢ is the ith element of mathbf b. Let ̂mathbf b be an estimator for mathbf b. Then sparsistency is the property that the support of the estimator converges to the true support as the number of samples grows to infinity.". Hover the mouse over the word you'd like to know more about to view its definition. Click search related words by phrase or description. to find a better fitting word. Finally, thanks to ChatGPT, the overall results have been greatly improved.

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