Noisy Sequence Classification with Smoothed Markov Chains

  • Pierre. Dupont
  • Published 2006
This paper is concerned with sequence classification using Markov chains when classification noise is included in the learning data. These models offer a direct generalization of a Multinomial Naive Bayes classifier by taking into account dependences between successive events up to a certain history length. Our study shows that smoothed Markov chains are… CONTINUE READING