Changes between Version 6 and Version 7 of tutorial/ProbabilisticLearningModels


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Timestamp:
08/14/09 10:20:22 (15 years ago)
Author:
horak
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  • tutorial/ProbabilisticLearningModels

    v6 v7  
    1 = Tutorial About Probabilistic Learning Models = 
     1= Tutorial About Probabilistic Classification Models = 
    22 
    33Benjamin Adrian, Gunnar Grimnes, Jörn Hees, Matthias Sperber 
     
    5151Second, just a small set of features might be enough for classifiying examples successfully. Adding more just decreases  performance.  
    5252 
     53 
     54=== Main Steps === 
     55 
     561. Convert your problem into a classification problem 
     571. Get a pre-classified data set (the more data or even data sets the better). Devide it into test, training and development sets. 
     581. Think about your features. This is the most important step! 
     591. Process data, extract these features, select significant ones and store them. 
     601. Train your model with your training data 
     611. Classify your test data. 
     62 
    5363=== Relational Classification === 
    5464