78 lines
3.3 KiB
TeX
78 lines
3.3 KiB
TeX
% % A new command that enables us to enter bi-lingual (Slovene and English) terms
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% % syntax: \addterm[options]{label}{Slovene}{Slovene first use}{English}{Slovene
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% % description}
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% \newcommand{\addterm}[6][]{
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% \newglossaryentry{#2}{
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% name={#3 (angl.\ #5)},
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% first={#4 (\emph{#5})},
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% text={#3},
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% sort={#3},
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% description={#6},
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% #1 % pass additional options to \newglossaryentry
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% }
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% }
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% % A new command that enables us to enter (English) acronyms with bi-lingual
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% % (Slovene and English) long versions
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% % syntax: \addacronym[options]{label}{abbreviation}{Slovene long}{Slovene first
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% % use long}{English long}{Slovene description}
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% \newcommand{\addacronym}[7][]{
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% % Create the main glossary entry with \newacronym
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% % \newacronym[key-val list]{label}{abbrv}{long}
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% \newacronym[
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% name={#4 (angl.\ #6,\ #3)},
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% first={\emph{#5} (angl.\ \emph{#6},\ \emph{#3})},
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% sort={#4},
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% description={#7},
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% #1 % pass additional options to \newglossaryentry
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% ]
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% {#2}{#3}{#4}
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% % Create a cross-reference from the abbreviation to the main glossary entry by
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% % creating an auxiliary glossary entry (note: we set the label of this entry
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% % to '<original label>_auxiliary' to avoid clashes)
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% \newglossaryentry{#2_auxiliary}{
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% name={#3},
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% sort={#3},
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% description={\makefirstuc{#6}},
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% see=[See:]{#2}
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% }
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% }
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% % Change the text of the cross-reference links to the Slovene long version.
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% \renewcommand*{\glsseeitemformat}[1]{\emph{\acrlong{#1}}.}
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% Define the Indonesian term and link it to the English term
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\newglossaryentry{jaringansaraf}{
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name=Jaringan Saraf,
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description={The Indonesian term for \gls{nn}}
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}
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% \newglossaryentry{pemelajaranmesin}{
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% name=Pemelajaran Mesin,
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% description={Lihat \gls{machinelearning}}
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% }
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% Define the English term and link it to its acronym
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\newglossaryentry{neuralnetwork}{
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name=Neural Network,
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description={A computational model inspired by the human brain, see \gls{nn}}
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}
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% \newglossaryentry{machinelearning}{
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% name=Machine Learning,
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% description={A program or system that trains a model from input data. The trained model can make useful predictions from new (never-before-seen) data drawn from the same distribution as the one used to train the model.}}
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% \newglossaryentry{pemelajaranmesin}{
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% name={pemelajaran mesin (angl.\ #5)},
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% first={pemelajaran mesin (\emph{machine learning})},
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% text={pemelajaran mesin},
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% sort={ },
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% description={#6},
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% #1 % pass additional options to \newglossaryentry
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% }
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\longnewglossaryentry{machinelearning}{name={machine learning}}
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{A program or system that trains a model from input data. The trained model can make useful predictions from new (never-before-seen) data drawn from the same distribution as the one used to train the model.}
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\newterm[see={machinelearning}]{pemelajaranmesin}
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% \newglossaryentry{pemelajaran mesin}{}
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% \addterm{machinelearning}{pemelajaran mesin}{pemelajaran mesin}{machine learning}{A program or system that trains a model from input data. The trained model can make useful predictions from new (never-before-seen) data drawn from the same distribution as the one used to train the model.}
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\newacronym
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[description={statistical pattern recognition technique}]
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{svm}{SVM}{support vector machine} |