Recognition of Working Condition in Sucker-Rod Pumping Wells Based on Multi-View Kernel Learning and Hessian-Regularized Logistic Regression.
Bin ZhouYanjiang WangWeifeng LiuBao-Di LiuPublished in: ICSPCC (2018)
Keyphrases
- reinforcement learning
- multi view
- logistic regression
- kernel learning
- semi supervised
- support vector
- kernel function
- multiple views
- decision trees
- three dimensional
- loss function
- multiple kernel learning
- naive bayes
- unsupervised learning
- pairwise constraints
- d objects
- kernel methods
- action recognition
- support vector regression
- object recognition
- pattern recognition
- least squares
- data sets
- labeled data
- semi supervised learning
- metric learning
- support vector machine
- active learning
- pairwise
- computer vision