Transitioning conditional probability to discriminative classifier over inductive reasoning.
Peng MeiFuquan ZhangLin XuHongyong LengLei ChenGuo LiuPublished in: iCAST (2017)
Keyphrases
- inductive reasoning
- conditional probabilities
- discriminative classifiers
- bayesian networks
- probabilistic inference
- discriminative learning
- hidden markov models
- probability distribution
- parameter learning
- probabilistic model
- object detection
- belief networks
- random variables
- support vector machine
- bayesian network classifiers
- posterior probability
- data analysis
- cognitive functions
- markov networks
- class labels
- graphical models
- training set
- approximate inference
- reinforcement learning
- computer vision