Self bounding genetic algorithms for machine learning.
Fernando LozanoVladimir KoltchinskiiPublished in: ICMLA (2005)
Keyphrases
- machine learning
- genetic algorithm
- neural network
- evolutionary computing
- simulated annealing
- pattern recognition
- machine learning and data mining
- learning algorithm
- evolutionary computation
- machine learning methods
- machine learning algorithms
- evolutionary algorithm
- natural language processing
- fuzzy logic
- learning classifier systems
- computational intelligence
- learning systems
- supervised machine learning
- multi objective
- active learning
- machine learning approaches
- artificial intelligence
- computer vision
- information extraction
- explanation based learning
- learning problems
- data mining
- transfer learning
- genetic algorithm ga
- decision trees
- computer science
- knowledge representation
- data sets
- classifier systems
- genetic search
- artificial immune system
- function optimization
- genetic operators
- stochastic search algorithms
- memetic algorithm
- computational biology
- learning tasks
- kernel methods
- unsupervised learning
- model selection
- text classification
- scheduling problem
- natural language
- reinforcement learning