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Found 4 papers, 2 papers with code
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Continual learning can incrementally absorb new concepts without interfering with previously learned knowledge.
SFE: A Simple, Fast and Efficient Feature Selection Algorithm for High-Dimensional Data
The results obtained indicate that the two proposed algorithms significantly outperform the other algorithms, and can be used as efficient and effective algorithms in selecting features from high-dimensional datasets.
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification
This re-normalization method can help the network avoid divergence of the hidden features.
Robust Visual Tracking Using Oblique Random Forests
Unlike conventional orthogonal decision trees that use a single feature and heuristic measures to obtain a split at each node, we propose to use a more powerful proximal SVM to obtain oblique hyperplanes to capture the geometric structure of the data better.
