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   comp.ai      Awaiting the gospel from Sarah Connor      1,954 messages   

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   Message 567 of 1,954   
   Ted Dunning to All   
   Re: RNNs and LSTMs for Noisy Substring M   
   18 Jan 05 19:32:09   
   
   From: tdunning@san.rr.com   
      
   Recurrent neural nets are probably massive overkill for a problem like   
   this.   
      
   You should start with sub-string presence or absence as a proxy for   
   string edit distance.  You can even use the sub-strings to generate   
   hints for dynamic programming based edit distance systems.   
      
   Remember that weighted sub-string matching is just a handy way of   
   encoding a Markov model.  As such, it has enormous power for doing   
   string matching sorts of operations.   
   What made you think that fancy stuff was needed?   
      
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