課程說明
主題包括數學回顧、貝氏決策理論、參數化模式識別的最大概然與貝氏學習、非參數方法包括最近鄰與線性判別。字串、子字串、子序列與樹結構之句法識別。應用包括語音、形狀與字元識別。
原文參考文本
Topics include a mathematical review, Bayes decision theory, maximum likelihood and Bayesian learning for parametric pattern recognition, non-parametric methods including nearest neighbor and linear discriminants. Syntactic recognition of strings, substrings, subsequences and tree structures. Applications include speech, shape and character recognition.
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來源參考 : https://calendar.carleton.ca/grad/courses/COMP/