Perceived similarity offers a window into the mental representations underlying our ability to make sense of our visual world, yet, the collection of similarity judgments quickly becomes infeasible ...

Abstract: Hierarchical Kriging (HK ... an infinite-width Bayesian neural network correlation function is developed and incorporated to the HK model. Theoretical analysis demonstrates that the proposed ...

This is the base package that has the backend-agnostic code to query hierarchical data. In all likelihood you ... expressions and capabilities are possible in each of these backends. Python supports ...

This repository provides examples and code samples demonstrating AI agent patterns, frameworks, and integration techniques using Python. It covers various frameworks for building, deploying, and using ...

This article proposes a new sharing chain detection method called the dual-color space hierarchical classification network. We first use the RGB and YCbCr color spaces to maximize perceiving traces ...