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A Bayesian nonparametric approach for the analysis of multiple categorical item responses
British Library Online Contents | 2015| -
A Bayesian nonparametric approach for the analysis of multiple categorical item responses
Online Contents | 2015|Contributors: Baraniuk, Richard G -
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
Free accessArXiv | 2018| -
A Blessing of Dimensionality in Membership Inference through Regularization
Free accessArXiv | 2022| -
A Deep Learning Approach to Structured Signal Recovery
British Library Conference Proceedings | 2015| -
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Free accessArXiv | 2021| -
Analytical Probability Distributions and EM-Learning for Deep Generative Networks
Free accessArXiv | 2020| -
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing
Springer Verlag | 2018|
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