2 papers
cs.LG2026
Random Feature Pruning for Multi-Class Classification
Mohammad Amin Omidi, Babak Seyfe, Shahrokh Valaee
Weighted sums of random kitchen sinks (W-RKS) is a commonly used feature extraction technique for supervised learning tasks. A major drawback of this method is the redundancy and i…
cs.LG2024
Model Selection Through Model Sorting
Mohammad Ali Hajiani, Babak Seyfe
We propose a novel approach to select the best model of the data. Based on the exclusive properties of the nested models, we find the most parsimonious model containing the risk mi…