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Found 4 papers, 4 papers with code
Artificial neural networks for neuroscientists: A primer
Artificial neural networks (ANNs) are essential tools in machine learning that have drawn increasing attention in neuroscience.
A Deep Probabilistic Model for Customer Lifetime Value Prediction
In this article, we model the distribution of LTV given associated features as a mixture of zero point mass and lognormal distribution, which we refer to as the zero-inflated lognormal (ZILN) distribution.
Applications
A Python Library For Empirical Calibration
Dealing with biased data samples is a common task across many statistical fields.
Computation Applications Methodology
A Dataset and Architecture for Visual Reasoning with a Working Memory
COG is much simpler than the general problem of video analysis, yet it addresses many of the problems relating to visual and logical reasoning and memory -- problems that remain challenging for modern deep learning architectures.
