From: davidtian480@hotmail.com   
      
   Hi,   
      
   I understand that MDLP states the hypothesis that minimizes the sum of   
   its description length and the description length of data given the   
   hypothesis, is selected. This is how MDLP is defined in "Machine   
   Learning" by Tom Mitchell 1997. Binary codes are used to represent the   
   probabilities of hypotheses. The length is the number of bits to   
   represent these probablities of the hypotheses.   
      
   Q: Why isn't the hypothesis itself represented in binary codes?   
      
   Many thanks,   
      
   David   
      
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