[Read the Paper (PDF)](paper/Recursive_Categorical_Framework.pdf) [Official DOI](https://doi.org/10.5281/zenodo.17567903) [Academia.edu Page](https://www.academia.edu ...
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A representation of the cause-effect mechanism is needed to enable artificial intelligence to represent how the world works. Bayesian Networks (BNs) have proven to be an effective and versatile tool ...
This study explores the efficacy of Bayesian estimation in modeling the orientation and direction selectivity of neurons in the primary visual cortex (V1). Unlike traditional methods such as least ...
ABSTRACT: Accurate estimation of disease prevalence is crucial for effective public health intervention and resource allocation. Generating data by individual testing methods is often impractical and ...
In this paper, we introduce an effective United Filter method for jointly estimating the solution state and physical parameters in flow and transport problems within fractured porous media. Fluid flow ...
Mathematics Department, Egerton University, Njoro Nakuru, Kenya. Bayesian techniques have been applied in many epidemiological settings, such as disease monitoring, outbreak simulation, and prevalence ...
I'll be brief. I need to be able to get 1 item from 2 sets of items and drop them together. Let's say there are 3 items in each set and we need to ensure that 1 item drops from the first set and 1 ...
Cognitive biases, often seen as uniquely human flaws, may instead reflect fundamental decision-making strategies shared across species. By demonstrating that macaque monkeys and carrion crows exhibit ...
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