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lectures [2013/11/11 16:48] nicklectures [2013/11/26 14:43] (current) nick
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   * {{:lecture_16.pdf|Lecture 15 - Web Intelligence, Brain Informatics and Granular Computing}}   * {{:lecture_16.pdf|Lecture 15 - Web Intelligence, Brain Informatics and Granular Computing}}
      * {{:wimbit.pdf|Lecture 15a - Web Intelligence meet Brain Informatics}}      * {{:wimbit.pdf|Lecture 15a - Web Intelligence meet Brain Informatics}}
-  * {{:lecture_17.pdf|Lecture 16 - Granular Computing}}+  * {{:lecture_17new.pdf|Lecture 16 - Granular Computing}}
      * {{:att00207.pdf|Lecture 16a - Zadeh's Granular Computing}}      * {{:att00207.pdf|Lecture 16a - Zadeh's Granular Computing}}
      * {{:conceptual_granularity_fuzzy_and_rough_sets.pdf|Lecture 16b - Erich's Granular Computing}}      * {{:conceptual_granularity_fuzzy_and_rough_sets.pdf|Lecture 16b - Erich's Granular Computing}}
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   * {{:hmm_nicky.pdf|Lecture 17 - Hidden Markov Models}}   * {{:hmm_nicky.pdf|Lecture 17 - Hidden Markov Models}}
   * {{:lecture_18.pdf|Lecture 18 - Introduction to Expert Systems}}   * {{:lecture_18.pdf|Lecture 18 - Introduction to Expert Systems}}
-  * {{:bayesian_network_modeling_for_evolutionary_genetic_structures.ppt|Lecture 19 - Bayesian Network Modeling for evolutionary genetic structures}} +  * {{:bayesian_network_modeling.pdf|Lecture 19 - Bayesian Network Modeling for evolutionary genetic structures}} 
-  * {{:cercone.ppt|Lecture 20 - A graph theory approach to characterize the relationship between protein functions and structure of biological networks}}+  * {{:cerconenew.pdf|Lecture 20 - A graph theory approach to characterize the relationship between protein functions and structure of biological networks}} 
 +  * {{:sc20130nov26short.pdf|Lecture 20a - Graph theory and biological networks}}
   * {{:lecture_22.ppt|Lecture 21 - Course Review}}   * {{:lecture_22.ppt|Lecture 21 - Course Review}}
  
lectures.1384188522.txt.gz · Last modified: 2013/11/11 16:48 by nick

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