Computationally Efficient Implementation of a Novel Algorithm for the General Unified Threshold Model of Survival (GUTS).
Carlo AlbertSören VogelRoman AshauerPublished in: PLoS Comput. Biol. (2016)
Keyphrases
- computationally efficient
- probabilistic model
- estimation algorithm
- mathematical model
- theoretical analysis
- similarity measure
- learning algorithm
- algorithm employs
- recognition algorithm
- cost function
- parameter estimation
- algorithm has been developed
- final result
- selection algorithm
- kalman filter
- objective function
- bayesian framework
- prior information
- classification algorithm
- optimization algorithm
- em algorithm
- worst case
- multiple models
- computational complexity
- optimization model
- energy function
- dynamic programming
- linear programming
- computationally tractable
- optimal solution
- preprocessing
- linear model
- search space
- thresholding algorithm
- k means
- closed form
- np hard
- matching algorithm
- expectation maximization
- hardware implementation
- computational cost
- filtering algorithm
- segmentation algorithm
- probability distribution
- unified model
- input data
- graphical models
- threshold selection
- simulated annealing