Add to ORKGSchulz A, Gisbrecht A, Hammer B. Classifier inspection based on different discriminative dimensionality reductions. In: Workshop NC^2 2013. TR Machine Learning Reports; 2013: 77-86
Machine learning model training time can be significantly reduced by using dimensionality reduction ...
Schulz A, Hammer B. Discriminative dimensionality reduction for regression problems using the Fisher...
Schulz A, Brinkrolf J, Hammer B. Efficient Kernelization of Discriminative Dimensionality Reduction....
Gisbrecht A, Schulz A, Hammer B. Discriminative Dimensionality Reduction for the Visualization of Cl...
Hammer B, Gisbrecht A, Schulz A. Applications of discriminative dimensionality reduction. In: Proce...
Schulz A, Gisbrecht A, Hammer B. Using Nonlinear Dimensionality Reduction to Visualize Classifiers. ...
Schulz A, Gisbrecht A, Hammer B. Using Discriminative Dimensionality Reduction to Visualize Classifi...
We are interested in using the goal of making predictions to influence dimensionality reduction proc...
Gisbrecht A, Hofmann D, Hammer B. Discriminative Dimensionality Reduction Mappings. In: Hollmén J, K...
Abstract- Classification is undoubtedly gaining major importance in the fields of machine learning, ...
We are interested in using the goal of making predictions to influence dimensionality reduction proc...
For nearly a century, researchers have investigated and used mathematical techniques for reducing th...
AbstractThe field of machine learning deals with a huge amount of various algorithms, which are able...
<p>Seven different combinations of dimension reduction algorithms and classifiers perform differentl...
Hosseini B, Hammer B. Interpretable Discriminative Dimensionality Reduction and Feature Selection on...
Machine learning model training time can be significantly reduced by using dimensionality reduction ...
Schulz A, Hammer B. Discriminative dimensionality reduction for regression problems using the Fisher...
Schulz A, Brinkrolf J, Hammer B. Efficient Kernelization of Discriminative Dimensionality Reduction....
Gisbrecht A, Schulz A, Hammer B. Discriminative Dimensionality Reduction for the Visualization of Cl...
Hammer B, Gisbrecht A, Schulz A. Applications of discriminative dimensionality reduction. In: Proce...
Schulz A, Gisbrecht A, Hammer B. Using Nonlinear Dimensionality Reduction to Visualize Classifiers. ...
Schulz A, Gisbrecht A, Hammer B. Using Discriminative Dimensionality Reduction to Visualize Classifi...
We are interested in using the goal of making predictions to influence dimensionality reduction proc...
Gisbrecht A, Hofmann D, Hammer B. Discriminative Dimensionality Reduction Mappings. In: Hollmén J, K...
Abstract- Classification is undoubtedly gaining major importance in the fields of machine learning, ...
We are interested in using the goal of making predictions to influence dimensionality reduction proc...
For nearly a century, researchers have investigated and used mathematical techniques for reducing th...
AbstractThe field of machine learning deals with a huge amount of various algorithms, which are able...
<p>Seven different combinations of dimension reduction algorithms and classifiers perform differentl...
Hosseini B, Hammer B. Interpretable Discriminative Dimensionality Reduction and Feature Selection on...
Machine learning model training time can be significantly reduced by using dimensionality reduction ...
Schulz A, Hammer B. Discriminative dimensionality reduction for regression problems using the Fisher...
Schulz A, Brinkrolf J, Hammer B. Efficient Kernelization of Discriminative Dimensionality Reduction....