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--- class_presentations [2010/10/26 10:02] – nick
+++ class_presentations [2010/10/26 13:40] (current) – nick
@@ Line 44: / Line 44: @@
        * {{:08models-prob.pdf|the probabilistic model}}
        * {{:10_1_.1.1.23.9849.pdf|conditional random fields}}
-       * {{:08models-prob.pdf|the probabilistic model}}
+       * {{:ecir2008tutorialhiemstra-new.pdf|advanced language modeling approaches}}
-       * {{:08models-prob.pdf|the probabilistic model}}
+       * {{:fuhr_92.pdf|probabilistic models in information retrieval}}
-       * {{:08models-prob.pdf|the probabilistic model}}
+       * {{:ir-probablistic-strategy.pdf|probabilistic retrieval}}
-       * {{:08models-prob.pdf|the probabilistic model}}
+       * {{:lecture20.pdf|foundations of probabilistic modelling}}
+       * {{:nlp12.pdf|probabilistic modelling}}
+       * {{:nlp13.pdf|joint distribution model}}
   * 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 classifcation}}
+       * {{:10_1_.1.1.73.5412.pdf|improving text classifcation by shrinkage in a hierarchy of classes}}
+       * {{:10_1_.1.1.112.8246.pdf|discriminative probabilistic models for relational data}}
+       * {{:kdd96-061.pdf|learning limited dependence Bayesian classifiers}}
+       * {{: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