Retrieval of Surgical Phase Transitions Using Reinforcement Learning.
Yitong ZhangSophia BanoAnn-Sophie PageJan DeprestDanail StoyanovFrancisco VasconcelosPublished in: MICCAI (8) (2022)
Keyphrases
- phase transition
- reinforcement learning
- constraint satisfaction
- random constraint satisfaction problems
- satisfiability problem
- information retrieval
- combinatorial problems
- information retrieval systems
- np complete
- randomly generated
- function approximation
- retrieval model
- learning algorithm
- np complete problems
- graph coloring
- cellular automata
- test collection
- sat problem
- search algorithm
- random instances
- state space
- stochastic local search
- image guided
- intraoperative
- image retrieval
- markov decision processes
- upper bound
- relevance feedback
- random graphs
- query expansion
- hard problems
- dynamic programming
- np hard