Classification of non-linear-separable real-world-problems using Δ-rule, perceptrons, and topologically distributed encoding.
Martin EldracherPublished in: SAC (1992)
Keyphrases
- real world
- pattern recognition problems
- rule learning
- feature selection
- rule sets
- distributed systems
- pattern recognition
- classification accuracy
- machine learning
- multi agent
- support vector machine
- classification algorithm
- optimization problems
- highly non linear
- peer to peer
- classification rules
- high dimensionality
- pattern classification
- feature vectors
- decision trees
- supervised learning
- cooperative
- support vector
- neural network
- linearly separable
- data mining
- genetic algorithm
- nearest neighbour
- classification models
- association rules
- decision rules
- mobile agents
- np complete
- model selection
- active learning
- multi class