Evolving Markov chain models of driving conditions using onboard learning.
Andrew HoekstraDimitar P. FilevSteven SzwabowskiKevin McDonoughIlya V. KolmanovskyPublished in: CYBCONF (2013)
Keyphrases
- markov chain
- steady state
- transition probabilities
- monte carlo simulation
- learning algorithm
- monte carlo
- gibbs sampler
- probabilistic model
- model selection
- finite state
- markov model
- learning tasks
- stationary distribution
- random walk
- statistical model
- stochastic process
- state space
- prior knowledge
- monte carlo method
- transition matrix
- markov process
- neural network
- experimental data
- supervised learning
- support vector
- reinforcement learning
- genetic algorithm
- machine learning