Joint exclusivity extends mutual exclusivity with a sharp existence condition sum of marginal survival functions at zero at most n-1, a canonical construction on lower-dimensional faces, and a link to joint mixability.
A Reconciliation of the Top-Down and Bottom-Up Approaches to Risk Capital Allocations: Proportional Allocations Revisited , url =
6 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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NetNomos is a multi-stage framework that extracts, filters, and enforces first-order logic rules in generative ML models for networking tasks including telemetry imputation, traffic forecasting, and synthetic trace generation.
Convexification enables reliable solutions of Mean Field Games whose predicted sentiment densities align with observed COVID-19 social media discussion patterns.
The paper introduces a penalized distributed lag non-linear Lee-Carter framework that adds temperature and influenza effects, negative binomial overdispersion, SARIMA dynamics, and copula dependence for improved regional weekly mortality forecasts on French data 1990-2019.
Family-FL uses family-level aggregation in a three-tier setup with a sub-5KB quantized CNN-LSTM to cut communication by 76.7% versus FedAvg while reaching 91.9% accuracy on MIT-BIH arrhythmia data.
citing papers explorer
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Joint Exclusivity
Joint exclusivity extends mutual exclusivity with a sharp existence condition sum of marginal survival functions at zero at most n-1, a canonical construction on lower-dimensional faces, and a link to joint mixability.
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Making Logic a First-Class Citizen in Generative ML for Networking
NetNomos is a multi-stage framework that extracts, filters, and enforces first-order logic rules in generative ML models for networking tasks including telemetry imputation, traffic forecasting, and synthetic trace generation.
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Toward Practical Forecasts of Public Sentiments via Convexification for Mean Field Games: Evidence from Real World COVID-19 Discussion Data
Convexification enables reliable solutions of Mean Field Games whose predicted sentiment densities align with observed COVID-19 social media discussion patterns.
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A penalized distributed lag non-linear Lee-Carter framework for regional weekly mortality forecasting
The paper introduces a penalized distributed lag non-linear Lee-Carter framework that adds temperature and influenza effects, negative binomial overdispersion, SARIMA dynamics, and copula dependence for improved regional weekly mortality forecasts on French data 1990-2019.
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Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables
Family-FL uses family-level aggregation in a three-tier setup with a sub-5KB quantized CNN-LSTM to cut communication by 76.7% versus FedAvg while reaching 91.9% accuracy on MIT-BIH arrhythmia data.
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