50 citations · 250 across the 16 of their papers we have counts for
4 papers · 1 filter
Optimized Sequential Testing for Binary Ensemble Classifiers
Joseph Kalman, Amit Moscovich
Ensemble classifiers are predictive models that combine the results of simpler base models, often by majority vote. A classic example is random forests, which combine the predictio…
Spectral Graph Filtering for Modality-Specific Representation Learning
Shira Yoffe, Amit Moscovich, Ariel Jaffe
Multimodal datasets, where measurements are obtained from multiple sensors, have become central to many scientific domains. In unsupervised settings, most representation learning m…
On the cross-validation bias due to unsupervised pre-processing
Amit Moscovich, Saharon Rosset
Cross-validation is the de facto standard for predictive model evaluation and selection. In proper use, it provides an unbiased estimate of a model's predictive performance. Howeve…
On the exact Berk-Jones statistics and their p-value calculation
Amit Moscovich, Boaz Nadler, Clifford Spiegelman
Continuous goodness-of-fit testing is a classical problem in statistics. Despite having low power for detecting deviations at the tail of a distribution, the most popular test is b…