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--- class_presentations [2010/10/26 10:18] – nick
+++ class_presentations [2010/10/26 13:40] (current) – nick
@@ Line 53: / Line 53: @@
   * fully independent model and naive Bayes model
        * {{:10_1_.1.1.48.529.pdf|model selection}}
-       * {{:10_1_.1.1.65.9324.pdf|A comparison of event models for naive Bayes text classication}}
+       * {{:10_1_.1.1.65.9324.pdf|A comparison of event models for naive Bayes text classifcation}}
-       * {{:10_1_.1.1.73.5412.pdf|}}
+       * {{:10_1_.1.1.73.5412.pdf|improving text classifcation by shrinkage in a hierarchy of classes}}
-       * {{:10_1_.1.1.112.8246.pdf|}}
+       * {{:10_1_.1.1.112.8246.pdf|discriminative probabilistic models for relational data}}
-       * {{:kdd96-061.pdf|}}
+       * {{:kdd96-061.pdf|learning limited dependence Bayesian classifiers}}
-       * {{:nlp14.pdf|}}
+       * {{:nlp14.pdf|fully independent model}}
+       * {{:nlp15.pdf|naive Bayes model}}
   * n-gram model
        * {{:10_1_.1.1.87.754.pdf|n-gram author profiles}}
+       * {{:01342667.pdf|}}
+       * {{:aaac.pdf|}}
+       * {{:d07-1045.pdf|}}
+       * {{:daltrec05spam.pdf|}}
+       * {{:fulltext.pdf|}}
+       * {{:ijcai09-252.pdf|}}
+       * {{:n03-1020.pdf|}}
+       * {{:nlp16.pdf|}}
+       * {{:pacling05a.pdf|}}
+       * {{:pst04.pdf|}}
   * hidden Markov model
        * {{:c96-2141.pdf|hmm word alignment in statistical translation}}
+       * {{:hmm_tutorial.pdf|}}
+       * {{:hmm14.pdf|}}
+       * {{:nlp17.pdf|}}
   * Bayesian networks
        * {{:bayesinf05.pdf|Bayesian networks - independencies & inference}}
+       * {{:bayesnet09.pdf|}}
+       * {{:bayesstruct05.pdf|}}
+       * {{:bn.pdf|}}
+       * {{:gaussbc12.pdf|}}
+       * {{:naive02.pdf|}}
+       * {{:nlp18.pdf|}}
+       * {{:prob18.pdf|}}
+       * {{:shortbayes03.pdf|}}
+       * {{:tr-95-06.pdf|}}
   * Probabilistic parsing