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lectures [2015/03/19 20:20] nicklectures [2015/04/09 13:43] (current) nick
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           * {{:lecture_13_ir_and_vsm_.ppt|Lecture 14 alternative vector space model}}               * {{:lecture_13_ir_and_vsm_.ppt|Lecture 14 alternative vector space model}}    
   * {{:nima_and_sanjay.pdf|Lecture 15 Nima & Sanjay's language modelling}}       * {{:nima_and_sanjay.pdf|Lecture 15 Nima & Sanjay's language modelling}}    
-          * {{:lecture_14_text_classification.ppt|Lecture 15 elnaz text classification}}    +  * {{:lecture_14_text_classification.ppt|Lecture 15 elnaz text classification}}               
 +  * {{:text_classification1.pdf|Lecture 15 Feng Gao - text classification}}    
           * {{:lecture_14_text_classification_.ppt|Lecture 15 alternative text classification incomplete}}                * {{:lecture_14_text_classification_.ppt|Lecture 15 alternative text classification incomplete}}     
           * {{:text_classification_presentation.pdf|Lecture 15 alternative text classification - nadine dulisch}}              * {{:text_classification_presentation.pdf|Lecture 15 alternative text classification - nadine dulisch}}   
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   * {{:lecture_18_ngram_models.pps.ppt|Lecture 18 bahareh - n-gram models}}       * {{:lecture_18_ngram_models.pps.ppt|Lecture 18 bahareh - n-gram models}}    
   * {{:ross_kitsis.pdf|Lecture 18 Ross Kitsis - n-gram models}}       * {{:ross_kitsis.pdf|Lecture 18 Ross Kitsis - n-gram models}}    
 +  * {{{{:hmm_presentation.pdf|Lecture 19 Meyer and Elasal - hidden markov models}}    
   * {{:lecture_19_cl_-_hidden_markov_models.pdf|Lecture 19 rados - hidden markov models}}       * {{:lecture_19_cl_-_hidden_markov_models.pdf|Lecture 19 rados - hidden markov models}}    
   * {{:hmm.ppt|Lecture 19 leah - hidden Markov models in NLP}}       * {{:hmm.ppt|Lecture 19 leah - hidden Markov models in NLP}}    
   * {{:bayesian_network.pdf|Lecture 20 Bart - Bayesian belief networks}}       * {{:bayesian_network.pdf|Lecture 20 Bart - Bayesian belief networks}}    
   * {{:lecture_20_bayesian-networks.ppt|Lecture 20 nariman - bayesian networks}}       * {{:lecture_20_bayesian-networks.ppt|Lecture 20 nariman - bayesian networks}}    
 +  * {{:bayesian_networks.pdf|Lecture 20 Mohammed - bayesian networks}}    
   * {{:lecture_21_probabilisticparsing.ppt|Lecture 21 dmitri - probabilistic parsing}}       * {{:lecture_21_probabilisticparsing.ppt|Lecture 21 dmitri - probabilistic parsing}}    
 +  * {{:2015-probabilistic-parsing.pdf|Lecture 21 Vitaliy - probabilistic parsing}}    
   * {{:10e-eval-2x3.pdf|Lecture 22 parser evaluation - indiana}}       * {{:10e-eval-2x3.pdf|Lecture 22 parser evaluation - indiana}}    
-  * {{:parseval_txtcluster.pdf|Lecture 22 parser evaluation & text clustering - emad ehsan}}    +  * {{:parseval_txtcluster.pdf|Lecture 22 parser evaluation & text clustering - emad ehsan}}   
 +  * {{:watson.pdf|Lecture IBM Watson videos}}     
 +  * {{:document3.pdf|Lecture nlp, etc.}}     
 +  * {{:civddd_oct19_006.pdf|Lecture sentimap}}    
  
 * miscellaneous lectures * miscellaneous lectures
lectures.1426796452.txt.gz · Last modified: 2015/03/19 20:20 by nick