An approach using hidden Markov model for estimating and replacing missing categorical data.
Jianjun CaoXingchun DiaoNing ZhangTing WangPublished in: ICIQ (2011)
Keyphrases
- hidden markov models
- categorical data
- cluster analysis
- numerical data
- markov model
- speech recognition
- markov models
- attribute values
- viterbi algorithm
- missing data
- conditional random fields
- sequential data
- gesture recognition
- missing values
- hidden state
- data mining
- multi stream
- hierarchical latent class models
- incomplete data
- information extraction
- hidden states
- baum welch
- handwritten word recognition
- continuous hidden markov models