| Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform | Aug 15, 2019 | BIG-bench Machine Learningfeature selection | CodeCode Available | 0 |
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| A Hash-based Co-Clustering Algorithm for Categorical Data | Jul 29, 2014 | Clusteringfeature selection | CodeCode Available | 0 |
| An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark | Jul 6, 2017 | Dimensionality Reductionfeature selection | CodeCode Available | 0 |
| Reducing the Computational Complexity of Learning with Random Convolutional Features | May 5, 2023 | feature selectionTime Series | CodeCode Available | 0 |
| MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation | Oct 8, 2024 | Decoderfeature selection | CodeCode Available | 0 |
| SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning | Dec 7, 2021 | Additive modelsComputational Efficiency | CodeCode Available | 0 |
| Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern | May 11, 2024 | Alzheimer's Disease Detectionfeature selection | CodeCode Available | 0 |
| Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously | Jun 11, 2020 | feature selection | CodeCode Available | 0 |
| Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications | May 5, 2020 | Drift Detectionfeature selection | CodeCode Available | 0 |
