4 views collected around this technical thread.
This article explores how applying mathematical modeling and fuzzy evaluation to Chinese language proficiency tests like PEYEL can create personalized learning pathways, improve feedback loops, and bridge the gap between assessment results and actionable teaching strategies.
This article introduces the FuzzyWuzzy Python library, explains its underlying Levenshtein distance algorithm, demonstrates how to install it, describes the key functions in the fuzz and process modules, and provides practical examples for matching company names and province fields with complete code snippets.
This article introduces fuzzy mathematics, explains how fuzzy sets and membership functions quantify vague concepts, and provides Python code using the scikit‑fuzzy library to implement various membership functions such as triangular, Gaussian, S‑shaped, and polynomial types, complete with plotting examples.
This article reviews recent work on combining knowledge graphs with neural networks, covering generative self‑supervised graph neural network pre‑training, differentiable logical reasoning over graphs, and a fuzzy‑logic based query‑embedding model that improves open‑domain question answering, especially for rare relations.
This article reviews recent advances in combining knowledge graphs with neural networks, covering generative pre‑training of graph neural networks, wiki‑graph based open‑domain question answering, differentiable logical reasoning, and a fuzzy‑logic query‑embedding model that improves performance on sparse‑relation queries.