Abstract: Tensor decomposition has been widely recognized as a promising approach for addressing missing data in traffic flow analysis. Recent studies have demonstrated its effectiveness in capturing ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...
This Flow Launcher Plugin allows you to interact with a local Ollama instance and your favorite and private LLMs (e.g. Llama 3, Gemma 3, Phi-4, DeepSeek-R1, TinyLlama, ...). It provides a convenient ...
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