high-dimensional space
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high-dimensional data
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high-dimensional analysis
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high-dimensional model
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high-dimensional feature
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be high-dimensional
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high-dimensional embedding
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high-dimensional representation
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high-dimensional manifold
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high-dimensional projection
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the algorithm struggles with high-dimensional data due to the curse of dimensionality.
Algoritmen har svært ved at håndtere data med høj dimensionalitet på grund af dimensionalitetens forbandelse.
feature selection aims to reduce the dimensionality of the dataset.
Funktionsudvælgelse har til formål at reducere datasættets dimensionalitet.
we used pca to project the high-dimensional data into a lower-dimensional space.
Vi brugte PCA til at projicere de data med høj dimensionalitet ind i et rum med lavere dimensionalitet.
high-dimensional spaces are common in image and text analysis.
Rum med høj dimensionalitet er almindelige i billed- og tekstanalyser.
the model's performance degraded significantly in high-dimensional feature space.
Modellens ydeevne forringedes betydeligt i det rum med høj dimensionelle funktioner.
regularization techniques help prevent overfitting in high-dimensional models.
Regulariseringsteknikker hjælper med at forhindre overtilpasning i modeller med høj dimensionalitet.
visualizing high-dimensional data is challenging but crucial for understanding patterns.
Visualisering af data med høj dimensionalitet er en udfordring, men afgørende for at forstå mønstre.
the dataset contained a large number of high-dimensional features.
Datasættet indeholdt et stort antal funktioner med høj dimensionalitet.
we employed dimensionality reduction to simplify the high-dimensional representation.
Vi benyttede dimensionsreduktion til at forenkle repræsentationen med høj dimensionalitet.
sparse representations are often used to handle high-dimensional data efficiently.
Sparse repræsentationer bruges ofte til at håndtere data med høj dimensionalitet effektivt.
the goal was to find a compact representation in a lower-dimensional space.
Målet var at finde en kompakt repræsentation i et rum med lavere dimensionalitet.
high-dimensional space
Danish_translation
high-dimensional data
Danish_translation
high-dimensional analysis
Danish_translation
high-dimensional model
Danish_translation
high-dimensional feature
Danish_translation
be high-dimensional
Danish_translation
high-dimensional embedding
Danish_translation
high-dimensional representation
Danish_translation
high-dimensional manifold
Danish_translation
high-dimensional projection
Danish_translation
the algorithm struggles with high-dimensional data due to the curse of dimensionality.
Algoritmen har svært ved at håndtere data med høj dimensionalitet på grund af dimensionalitetens forbandelse.
feature selection aims to reduce the dimensionality of the dataset.
Funktionsudvælgelse har til formål at reducere datasættets dimensionalitet.
we used pca to project the high-dimensional data into a lower-dimensional space.
Vi brugte PCA til at projicere de data med høj dimensionalitet ind i et rum med lavere dimensionalitet.
high-dimensional spaces are common in image and text analysis.
Rum med høj dimensionalitet er almindelige i billed- og tekstanalyser.
the model's performance degraded significantly in high-dimensional feature space.
Modellens ydeevne forringedes betydeligt i det rum med høj dimensionelle funktioner.
regularization techniques help prevent overfitting in high-dimensional models.
Regulariseringsteknikker hjælper med at forhindre overtilpasning i modeller med høj dimensionalitet.
visualizing high-dimensional data is challenging but crucial for understanding patterns.
Visualisering af data med høj dimensionalitet er en udfordring, men afgørende for at forstå mønstre.
the dataset contained a large number of high-dimensional features.
Datasættet indeholdt et stort antal funktioner med høj dimensionalitet.
we employed dimensionality reduction to simplify the high-dimensional representation.
Vi benyttede dimensionsreduktion til at forenkle repræsentationen med høj dimensionalitet.
sparse representations are often used to handle high-dimensional data efficiently.
Sparse repræsentationer bruges ofte til at håndtere data med høj dimensionalitet effektivt.
the goal was to find a compact representation in a lower-dimensional space.
Målet var at finde en kompakt repræsentation i et rum med lavere dimensionalitet.
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