Linguistics Using Category Theory | The n-Category Café
guest post by Sarah Griffith and Jade Master Most recently, the Applied Category Theory Seminar took a step into linguistics by discussing the 2010 paper Mathematical Foundations for a Compositional Distributional Model of Meaning, by Bob Coecke, Mehrnoosh Sadrzadeh, and Stephen Clark. Here is a summary and discussion of that paper. In recent years, well known advances in AI, such as the developme
Category Theory Course Notes | The n-Category Café
Here are the notes from a basic course on category theory: Category Theory Course - Winter 2016. Unlike my Fall 2015 seminar, this quarter I tried to give a systematic introduction to the subject. However, many proofs (and additional theorems) were offloaded to another more informal seminar, for which notes are not available. So, many proofs here are left as ‘exercises for the reader’. If you disc
Category Theoretic Probability Theory | The n-Category Café
Category Theoretic Probability Theory Posted by David Corfield Having noticed (e.g., here and here) that what I do in my day job (statistical learning theory) has much to do with my hobby (things discussed here), I ought to be thinking about probability theory in category theoretic terms. What would seem to be the most promising approach is described by Prakash Panangaden in Probabilistic Relation
Category Theory in Machine Learning | The n-Category Café
Category Theory in Machine Learning Posted by David Corfield I was asked recently by someone for my opinion on the possibility that category theory might prove useful in machine learning. First of all, I wouldn’t want to give the impression that there are signs of any imminent breakthrough. But let me open a thread by suggesting one or two places where categories may come into play. For other area
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