Discrete- and Continuous-Time Probabilistic Models and Algorithms for Inferring Neuronal UP and DOWN States.
Zhe ChenSujith VijayanRiccardo BarbieriMatthew A. WilsonEmery N. BrownPublished in: Neural Comput. (2009)
Keyphrases
- probabilistic model
- learning algorithm
- computational cost
- benchmark datasets
- graphical models
- computationally expensive
- orders of magnitude
- computational complexity
- pairwise
- continuous domains
- expectation maximization
- markov processes
- incomplete data
- recently developed
- combinatorial optimization
- computationally efficient
- em algorithm
- data sets
- data mining techniques
- optimization problems
- data mining