A Graph-Constrained Changepoint Learning Approach for Automatic QRS-Complex Detection.
Atiyeh FotoohinasabToby HockingFatemeh AfghahPublished in: ACSSC (2020)
Keyphrases
- prior knowledge
- reinforcement learning
- supervised learning
- dynamic bayesian networks
- graph model
- weighted graph
- graph theory
- active learning
- online learning
- fully automatic
- learning tasks
- labor intensive
- data sets
- inductive inference
- learning analytics
- automatic detection
- detection rate
- learning systems
- pairwise
- bayesian networks
- image segmentation
- learning algorithm
- machine learning
- real world
- neural network