课程笔记
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Pattern Recognition course 笔记- combiing, bagging and boosting
combinationp(f,ϕ∣ω)=p(f∣ω)p(ϕ∣ω) p(f,\phi| \omega) = p(f|\omega)p(\phi|\omega)p(f,ϕ∣ω)=p(f∣ω)p(ϕ∣ω)don not to measure the full parameters in one gocombination —> regularizationcombining clas...原创 2019-04-10 21:13:33 · 315 阅读 · 0 评论 -
Pattern Recognition course 笔记-Representation & Dissimilarities & Multiple Instance Learning
仅为个人笔记Representationsgood representation might differ from task to task.There is a video linkpattern recognition systemDissimilarity Representationk(x,z)=<ϕ(x),ϕ(z)> k(x,...原创 2019-04-11 15:28:18 · 291 阅读 · 0 评论 -
Pattern Recognition course 笔记 -Sparse Classifiers
仅供个人笔记使用Modern pattern recognitionbackgrounddue to the success of pattern recognition, many people try it on their applicationtraditionally: few informative features, and apply density estimatio...原创 2019-04-11 18:02:20 · 306 阅读 · 0 评论 -
Pattern Recognition course 笔记- causal inference and learning
仅为个人笔记使用Causality: ubiquitous in science and daily lifehealthclimatecosial scienceNeuroscienceif you change something here , there might be high probablity of certain behaviourprogmatic ap...原创 2019-04-11 21:18:42 · 464 阅读 · 0 评论 -
Pattern Recognition course 笔记 -Semi-supervised Learning
仅供个人笔记使用A pattern recognition problemgoalthere are large “labeled” data online e.g. tweets using hash #can we use these unlabel data to improve our classifierlabeled dataunlabeled data...原创 2019-04-12 17:05:19 · 413 阅读 · 0 评论
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