Recursive Bias-compensating Algorithm for the Identification of Dynamical Bilinear Systems in the Errors-in-variables Framework.
Tomasz LarkowskiJens G. LindenBenoit VinsonneauKeith J. BurnhamPublished in: ICINCO-SPSMC (2008)
Keyphrases
- learning algorithm
- computational complexity
- similarity measure
- improved algorithm
- high accuracy
- search space
- experimental evaluation
- preprocessing
- probabilistic model
- cost function
- optimization algorithm
- dynamic programming
- simulated annealing
- image sequences
- theoretical analysis
- detection algorithm
- recognition algorithm
- prediction error
- computational cost
- optimal solution
- objective function
- markov random field
- linear programming
- input data
- particle swarm optimization
- expectation maximization
- np hard
- k means
- tree structure
- times faster
- reinforcement learning
- recursive algorithm