Selective sampling for nearest neighbor classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
A perceptual assistant to do sound equalization
Proceedings of the 5th international conference on Intelligent user interfaces
Communications of the ACM
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Symbiogenesis in learning clasifier systems
Artificial Life
IEEE Transactions on Knowledge and Data Engineering
Asymmetric Gaussian and Its Application to Pattern Recognition
Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Strength or Accuracy? Fitness Calculation in Learning Classifier Systems
Learning Classifier Systems, From Foundations to Applications
Learning Classifier Systems, From Foundations to Applications
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
A Roadmap to the Last Decade of Learning Classifier System Research
Learning Classifier Systems, From Foundations to Applications
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multi-step Tasks
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
MCS '00 Proceedings of the First International Workshop on Multiple Classifier Systems
Non-commutative Logic for Hand-Written Character Modeling
AISC '02/Calculemus '02 Proceedings of the Joint International Conferences on Artificial Intelligence, Automated Reasoning, and Symbolic Computation
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
An improved branch and bound algorithm for feature selection
Pattern Recognition Letters
Recent trends in learning classifier systems research
Advances in evolutionary computing
Mining rank-correlated sets of numerical attributes
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
A probabilistic classifier system and its application in data mining
Evolutionary Computation
A nearest neighbor approach to letter recognition
Proceedings of the 44th annual Southeast regional conference
MESO: Supporting Online Decision Making in Autonomic Computing Systems
IEEE Transactions on Knowledge and Data Engineering
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
Active learning for logistic regression: an evaluation
Machine Learning
Genetic and non-genetic operators in alecsys
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Adaptive learning of process control and profit optimization using a classifier system
Evolutionary Computation
Engineering multiversion neural-net systems
Neural Computation
Cross-disciplinary perspectives on meta-learning for algorithm selection
ACM Computing Surveys (CSUR)
An English Letter Recognition Algorithm Based Artificial Immune
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Journal of Artificial Intelligence Research
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
CarpeDiem: Optimizing the Viterbi Algorithm and Applications to Supervised Sequential Learning
The Journal of Machine Learning Research
Adaptive k-nearest-neighbor classification using a dynamic number of nearest neighbors
ADBIS'07 Proceedings of the 11th East European conference on Advances in databases and information systems
Joint learning of labels and distance metric
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Investigating better multi-layer perceptrons for the task of classification
WSEAS Transactions on Computers
Workpiece recognition by the combination of multiple simplified fuzzy ARTMAP
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Feature selection with complexity measure in a quadratic programming setting
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Population clustering in genetic programming
EuroGP'06 Proceedings of the 9th European conference on Genetic Programming
Similarity-Based sparse feature extraction using local manifold learning
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Support vector machines with huffman tree architecture for multiclass classification
CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications
A modular single-hidden-layer perceptron for letter recognition
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Adaptive nonlinear auto-associative modeling through manifold learning
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Hierarchical neural networks utilising dempster-shafer evidence theory
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
XCS-based versus UCS-based feature pattern classification system
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Rank-loss support instance machines for MIML instance annotation
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Analysis and design of rank-based classifiers
Expert Systems with Applications: An International Journal
Particle swarm classification: A survey and positioning
Pattern Recognition
Instance Annotation for Multi-Instance Multi-Label Learning
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
QUAC: Quick unsupervised anisotropic clustering
Pattern Recognition
Integrated Fisher linear discriminants: An empirical study
Pattern Recognition
Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms
Genetic Programming and Evolvable Machines
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Machine rule induction was examined on a difficult categorization problem by applying a Holland-style classifier system to a complex letter recognition task. A set of 20,000 unique letter images was generated by randomly distorting pixel images of the 26 uppercase letters from 20 different commercial fonts. The parent fonts represented a full range of character types including script, italic, serif, and Gothic. The features of each of the 20,000 characters were summarized in terms of 16 primitive numerical attributes. Our research focused on machine induction techniques for generating IF-THEN classifiers in which the IF part was a list of values for each of the 16 attributes and the THEN part was the correct category, i.e., one of the 26 letters of the alphabet. We examined the effects of different procedures for encoding attributes, deriving new rules, and apportioning credit among the rules. Binary and Gray-code attribute encodings that required exact matches for rule activation were compared with integer representations that employed fuzzy matching for rule activation. Random and genetic methods for rule creation were compared with instance-based generalization. The strength/specificity method for credit apportionment was compared with a procedure we call “accuracy/utility.“