An algorithm to determine the feasibilities and weights of two-layer perceptrons for partitioning and classification.
Che-Chern LinAmro El-JaroudiPublished in: Pattern Recognit. (1998)
Keyphrases
- classification algorithm
- preprocessing
- training phase
- optimization algorithm
- learning algorithm
- segmentation algorithm
- support vector machine svm
- worst case
- detection algorithm
- classification method
- cost function
- knn
- nearest neighbour
- optimal solution
- objective function
- accuracy rate
- text classification
- support vector machine
- feature weighting
- single layer
- search space
- partitioning algorithm
- multi class classification
- machine learning
- support vector
- feature extraction
- similarity measure
- training data
- linear combination
- expectation maximization
- simulated annealing
- supervised learning
- dynamic programming
- np hard
- k means