Unsupervised machine learning via Hidden Markov Models for accurate clustering of plant stress levels based on imaged chlorophyll fluorescence profiles & their rate of change in time.
Julie BlumenthalDalila B. MegherbiRobert LussierPublished in: Comput. Electron. Agric. (2020)
Keyphrases
- hidden markov models
- machine learning
- unsupervised learning
- sequential data
- supervised learning
- k means
- markov models
- gesture recognition
- speech recognition
- text classification
- viterbi algorithm
- clustering algorithm
- data analysis
- markov model
- hidden state
- conditional random fields
- semi supervised
- reinforcement learning
- hidden states
- continuous hidden markov models
- sequence classification
- hierarchical hidden markov model
- automatic speech recognition
- information theoretic
- support vector machine
- learning algorithm
- anomaly detection
- random effects
- keyword spotting