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| | Graduate Course Listings |
 | | Topics range from using version control systems to track changes to documents and data files, and automating unit tests to ensure that once a bug is fixed, it stays fixed, to using web-based tools to streamline and coordinate small research teams. |
 | | Topics may include: introduction to philosophy of language, compositionality, categorial grammar, quantification and plurality, underspecification, lexical semantics, word-sense disambiguation, lexical choice and nuances of meaning, calculating semantic distance, semantic interpretation in natural language processing systems, and reasoning with the event calculus in natural language. |
 | | Topics will include: The backpropagation algorithm and some pattern recognition applications; ways to make backpropagation converge faster and generalize better; Mixtures of Experts; Autoencoder networks and their relationship to other dimensionality-reduction methods; The EM algorithm for learning simple directed belief nets; Gibbs sampling and variational methods for learning intractable directed belief nets. |
| www.cs.toronto.edu /DCS/Grad/Courses/courses.html#1b (6445 words) |
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