Supervised machine learning via Hidden Markov Models for accurate classification of plant stress levels & types based on imaged Chlorophyll fluorescence profiles & their rate of change in time.
Julie BlumenthalDalila B. MegherbiRobert LussierPublished in: CIVEMSA (2017)
Keyphrases
- hidden markov models
- supervised machine learning
- accurate classification
- supervised learning
- speech recognition
- manually annotated
- classification accuracy
- markov models
- active learning
- classification algorithm
- sequential data
- training data
- hidden states
- machine learning
- conditional random fields
- higher order
- semi supervised
- information retrieval