Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...
A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your MyFitnessPal data, including food diary, exercises, body measurements, nutrition goals, and water ...
AWS Deadline Cloud for After Effects is a package that supports creating and running Adobe After Effects jobs within AWS Deadline Cloud. It provides the implementation of an After Effects plug-in for ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.
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