- 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 ) =
argmin b 1 2 ( y − X b )...
- 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...
-
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...
- ϕ(x){\displaystyle \theta ^{*},\phi ^{*}={\underset {\theta ,\phi }{\operatorname {
argmax} }}\,L_{\theta ,\phi }(x)} is
equivalent to
simultaneously maximizing...
- otherwise){\displaystyle {\underset {{\vec {x}}\in \mathbb {R} ^{d}}{\operatorname {
argmax} }}\,{\underset {{\vec {u}}\in \mathbb {R} ^{d}}{\operatorname {min} }}\...
- =
argmax k ∈ { 1 , … , K } p ( C k ) ∏ i = 1 n p ( x i ∣ C k ) . {\displaystyle {\hat {y}}={\underset {k\in \{1,\ldots ,K\}}{\operatorname {
argmax} }}\...
- The
argmax of a
function is in general, multivalued. For example,
argmax x ∈ R cos ( x ) = { 2 π k ∣ k ∈ Z } {\displaystyle \operatorname {
argmax} _{x\in...
- the 1-hot
maximizer of the
linear Decoder layer D; that is, it
takes the
argmax of D's
linear layer output. x 300-long word
embedding vector. The vectors...
-
choose among many
possible outputs: y ^ =
argmax y f ( x , y ) ⋅ w . {\displaystyle {\hat {y}}=\operatorname {
argmax} _{y}f(x,y)\cdot w.}
Learning again iterates...
