A Perceptron-Like Linear Supervised Algorithm for Text Classification.
Anestis GkanogiannisTheodore KalamboukisPublished in: ADMA (1) (2010)
Keyphrases
- learning algorithm
- text classification
- expectation maximization
- probabilistic model
- cost function
- feature selection
- optimal solution
- computational complexity
- optimization algorithm
- detection algorithm
- simulated annealing
- computational cost
- segmentation algorithm
- preprocessing
- closed form
- neural network
- data mining
- matching algorithm
- k means
- objective function
- worst case
- np hard
- search space
- classification algorithm
- support vector
- weight vector
- perceptron algorithm