Model Complexity and Algorithm Selection in Classification.
Melanie HilarioPublished in: Discovery Science (2002)
Keyphrases
- classification algorithm
- selection algorithm
- probabilistic model
- mathematical model
- objective function
- recognition algorithm
- classification method
- selection criterion
- cost function
- algorithm employs
- theoretical analysis
- computational cost
- kalman filter
- computational complexity
- preprocessing
- parameter estimation
- classification models
- learning algorithm
- learning phase
- estimation algorithm
- dynamic programming
- selection mechanism
- regression method
- tree structure
- optimization model
- class labels
- detection algorithm
- input data
- worst case
- classification accuracy
- classification scheme
- feature space
- similarity measure
- decision trees
- decision tree induction algorithm
- optimization method
- space complexity
- model selection
- optimization algorithm
- machine learning
- genetic algorithm
- feature extraction
- k means
- probability distribution
- multi class
- support vector machine svm
- segmentation algorithm
- expectation maximization
- em algorithm
- neural network
- np hard
- hidden markov models
- search space
- training set
- optimal solution
- face recognition
- naive bayes
- energy function