- In mathematics, the
arguments of the
maxima (abbreviated arg max or
argmax) and
arguments of the
minima (abbreviated arg min or argmin) are the
input points...
- to the
optimization problem from above, β ^ =
argmax b p ( b | ε ) =
argmax b log p ( b | ε ) =
argmax b log p ( ε | b ) , {\displaystyle {\hat {\boldsymbol...
- respectively. In mathematics, the
arguments of the
maxima (abbreviated arg max or
argmax) and
arguments of the
minima (abbreviated arg min or argmin) are the input...
- =
argmax r ∈ { 1 , 2 , … , K } P ( Y = r ∣ X = x ) . {\displaystyle C^{\text{Bayes}}(x)={\underset {r\in \{1,2,\dots ,K\}}{\operatorname {
argmax} }}\operatorname...
-
decision function f θ ( x ) =
argmax y p ( y | x , θ ) {\displaystyle f_{\theta }(x)={\underset {y}{\operatorname {
argmax} }}\ p(y|x,\theta )} . The parameter...
-
correspondence is
defined to be x ∗ ( p , I ) =
argmax x ∈ B ( p , I ) u ( x ) {\displaystyle x^{*}(p,I)=\operatorname {
argmax} _{x\in B(p,I)}u(x)} Marshall's theory...
-
maximum likelihood estimation, θ i =
argmax θ ∈ Θ i F ( θ ) . {\displaystyle \theta _{i}=\operatorname {
argmax} _{\theta \in \Theta _{i}}F(\theta )...
- data set
argmax x ∈ R ∑ i = 1 n ( { 1 , if x = x i 0 , if x ≠ x i ) {\displaystyle {\underset {x\in \mathbb {R} }{\operatorname {
argmax} }}\,\sum...
- {\theta }}){\big )}\;=\;{\tilde {q}}(\theta ),}
where we have
defined θ ^ =
argmax θ log p ( y , θ | x ) , S − 1 = − ∇ θ ∇ θ log p ( y , θ | x ) | θ...
- the ELBO θ ∗ , ϕ ∗ =
argmax θ , ϕ L θ , ϕ ( x ) {\displaystyle \theta ^{*},\phi ^{*}={\underset {\theta ,\phi }{\operatorname {
argmax} }}\,L_{\theta ,\phi...
