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lecture 5: bayesian classification

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Machine Learning for Language Technology Lecture 5: Bayesian Classifica3on Marina San3ni Department of Linguis3cs and Philology Uppsala University, Uppsala, Sweden Autumn 2014 Acknowledgement: Thanks to Prof. Joakim Nivre for course design and materials

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Bayesian Classification, Instance Attributes, Naive Bayes Classifiers, Naive Bayes in NLP, Spam Filtering Course Website: http://stp.lingfil.uu.se/~santinim/ml/2014/ml4lt_2014.htm

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Page 1: Lecture 5: Bayesian Classification

Machine  Learning  for  Language  Technology    Lecture  5:  Bayesian  Classifica3on  

Marina  San3ni  Department  of  Linguis3cs  and  Philology  Uppsala  University,  Uppsala,  Sweden  

 Autumn  2014  

 Acknowledgement:  Thanks  to  Prof.  Joakim  Nivre  for  course  design  and  materials  

Page 2: Lecture 5: Bayesian Classification

Bayesian  Classifica3on  (i)  

Page 3: Lecture 5: Bayesian Classification

Bayesian  Classifica3on  (ii)  

Page 4: Lecture 5: Bayesian Classification

Instance  APributes  

Page 5: Lecture 5: Bayesian Classification

Ex:  Spam  Filtering  

Page 6: Lecture 5: Bayesian Classification

Naive  Bayes  Classifiers  

Page 7: Lecture 5: Bayesian Classification

Modeling  

Page 8: Lecture 5: Bayesian Classification

Inference  

Page 9: Lecture 5: Bayesian Classification

Learning  (i)  

Page 10: Lecture 5: Bayesian Classification

Learning  (ii)  

Page 11: Lecture 5: Bayesian Classification

Learning  (iii)  

Page 12: Lecture 5: Bayesian Classification

Evalua3on  (i)  

Page 13: Lecture 5: Bayesian Classification

Evalua3on  (ii)  

Page 14: Lecture 5: Bayesian Classification

Mul3-­‐Class  Classifica3on  

Page 15: Lecture 5: Bayesian Classification

Naive  Bayes  in  NLP  

Page 16: Lecture 5: Bayesian Classification

Tips  and  Tricks  

Page 17: Lecture 5: Bayesian Classification

The  end  


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