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Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency., and . AISTATS, Society for Artificial Intelligence and Statistics, (1999)A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference., and . ICML, volume 148 of ACM International Conference Proceeding Series, page 329-335. ACM, (2006)On Convergence Rates of Mixtures of Polynomial Experts., and . Neural Comput., 24 (11): 3025-3051 (2012)Predicting Panel Data Binary Choice with the Gibbs Posterior., , and . Neural Comput., 23 (10): 2683-2712 (2011)Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision., , , , , , and . CoRR, (2023)Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem., , , , , , and . CoRR, (2023)PeaTMOSS: Mining Pre-Trained Models in Open-Source Software., , , , , , , , and . CoRR, (2023)Link Prediction Based on Sampled Single Vertices., , , and . ICAIS (1), volume 13338 of Lecture Notes in Computer Science, page 17-27. Springer, (2022)Extended graphical lasso for multiple interaction networks for high dimensional omics data., , and . PLoS Comput. Biol., (2021)Reusing Deep Learning Models: Challenges and Directions in Software Engineering., , , , , and . JVA, page 17-30. IEEE, (2023)