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en:dydaktyka:problog:lab3 [2019/01/14 15:45]
msl [Structure Learning]
en:dydaktyka:problog:lab3 [2019/01/15 11:31]
msl [Settings format]
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   - What network'​s features have impact on the result?   - What network'​s features have impact on the result?
-  - Try to learn a similar (but bigger) model from the following {{ :​en:​dydaktyka:​problog:​hypertext_classification_data.pl|data}}. Is there any issue with creating such a model? ​+  - Try to learn a similar (but bigger) model from the following ​evidence ​{{ :​en:​dydaktyka:​problog:​hypertext_classification_data.pl|data}} and {{ :​en:​dydaktyka:​problog:​hypertext_classification_network.pl|network definition}}. Is there any issue with creating such a model? ​
   - Could you learn similar classifier using classic machine learning classifiers?​   - Could you learn similar classifier using classic machine learning classifiers?​
  
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 base(parent(person,​person)). base(parent(person,​person)).
 base(male(person)). base(male(person)).
-base(female(person)). 
-base(mother(person,​person)). 
 base(grandmother(person,​person)). base(grandmother(person,​person)).
-base(father(person,​person)). 
-base(male_ancestor(person,​person)). 
-base(female_ancestor(person,​person)). 
  
 % Target % Target
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 example_mode(auto). example_mode(auto).
 </​code>​ </​code>​
 +
 +===== Big Fat Assignment ======
 +
 +  - Try to learn structure of the Information Retrieval model, you've done earlier by hand.
 +  - Is the learned model satisfying? If not, what is the problem? Try to fix it by changing learning data by hand.
 +  - Modify model to consider more than only one query. What has to be changed?
    
  
  
  
en/dydaktyka/problog/lab3.txt · Last modified: 2019/06/27 15:49 (external edit)
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