Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language.
Walter DaelemansVéronique HosteFien De MeulderBart NaudtsPublished in: ECML (2003)
Keyphrases
- feature selection
- machine learning
- learning algorithm
- optimization algorithm
- expectation maximization
- optimization method
- optimal solution
- preprocessing
- matching algorithm
- cost function
- dynamic programming
- optimization process
- fine tuning
- segmentation algorithm
- particle swarm optimization
- optimization model
- combinatorial optimization
- convergence rate
- selection algorithm
- model selection
- optimal parameters
- stochastic gradient
- steepest descent method
- detection algorithm
- worst case
- objective function
- input data
- simulated annealing
- parameter settings
- mutual information
- constrained optimization
- feature selection algorithms
- probabilistic model
- np hard
- natural language
- optimization criteria
- genetic algorithm