Structural identification of GMA models: algorithm and model comparison.
Graciano Dieck KattasPeter GennemarkDag WedelinPublished in: CMSB (2010)
Keyphrases
- probabilistic model
- multiple models
- cost function
- mathematical model
- theoretical analysis
- model fitting
- learned models
- objective function
- estimation algorithm
- recognition algorithm
- parameter estimation
- bayesian framework
- markov model
- analytical model
- dynamic programming
- k means
- monte carlo simulation
- independence assumption
- structural model
- goodness of fit
- fully connected
- hybrid model
- statistical models
- experimental data
- classification algorithm
- detection algorithm
- statistical model
- tree structure
- computational model
- expectation maximization
- accurate models
- algorithm employs
- computational complexity
- energy function
- matching algorithm
- regression method
- prediction model
- classification models
- random fields
- parametric models
- learning algorithm
- similarity measure
- structural models
- linear model
- computational models
- optimization algorithm
- input data
- np hard
- prior knowledge
- kalman filter
- modeling framework
- similarity search
- segmentation algorithm
- generative model
- em algorithm
- particle swarm optimization
- least squares
- probability distribution
- autoregressive moving average