Objective: Based on the Bayesian network, this study investigates the impact pathways of multidimensional factors related to the living environment—specifically housing factors, exposure to daily ...
ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
How do you shape perception ethically when storytelling beats facts? One compelling framework that offers clarity is Bayesian persuasion, introduced by economists Kamenica and Gentzkow in 2011, —a ...
Imagine you take a flu test. Before the result, you already have a guess, maybe you feel a bit unwell, so you think the chance is 50–50. When the test comes back positive, you don’t throw away your ...
In a world of uncertainty and shifting narratives, this post proposes a new model for investing: Bayesian edge investing. Unlike modern portfolio theory, which assumes equilibrium and perfect ...
"For the EstimatorQNN, the expected output shape for the forward pass is (1, num_qubits * num_observables)” In practice, the forward pass returns an array of shape (batch_size, num_observables)—one ...
Ambiguity sensitive preferences must fail either Consequentialism or Dynamic Consistency (DC), two properties that are compatible with subjective expected utility and Bayesian updating, while forming ...
Following Python packages are required: numpy,pandas,seaborn,matplotlib,pydot,igraph. We recommend using pip to install them on your local machine: pip install pandas ...
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