Communications of the ACM - Special issue on parallelism
Instance-Based Learning Algorithms
Machine Learning
A Nearest Hyperrectangle Learning Method
Machine Learning
Selecting typical instances in instance-based learning
ML92 Proceedings of the ninth international workshop on Machine learning
A hybrid nearest-neighbor and nearest-hyperrectangle algorithm
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Unifying instance-based and rule-based induction
Machine Learning
Improving accuracy by combining rule-based and case-based reasoning
Artificial Intelligence
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Vector Quantization Technique for Nonparametric Classifier Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bootstrap Technique for Nearest Neighbor Classifier Design
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Instance-Family Abstraction in Memory-Based Language Learning
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A New Multi-Class SVM Based on a Uniform Convergence Result
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
Symbolic nearest mean classifiers
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Multiple-prototype classifier design
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Nearest prototype classification: clustering, genetic algorithms, or random search?
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Considerations about sample-size sensitivity of a family of editednearest-neighbor rules
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Benchmarking a Reduced Multivariate Polynomial Pattern Classifier
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training a reciprocal-sigmoid classifier by feature scaling-space
Machine Learning
A novel gray-based reduced NN classification method
Pattern Recognition
PointMap: A Real-Time Memory-Based Learning System with On-line and Post-Training Pruning
International Journal of Hybrid Intelligent Systems
An error-counting network for pattern classification
Neurocomputing
Generative models for similarity-based classification
Pattern Recognition
Iteratively Reweighted Fitting for Reduced Multivariate Polynomial Model
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A class boundary preserving algorithm for data condensation
Pattern Recognition
IPADE: iterative prototype adjustment for nearest neighbor classification
IEEE Transactions on Neural Networks
Enhancing IPADE algorithm with a different individual codification
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
A new approach for semi-supervised online news classification
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Improving nearest neighbor classification with simulated gravitational collapse
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
An algorithm for pruning redundant modules in min-max modular network with GZC function
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
A comparison framework for 3d object classification methods
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Prototype reduction based on Direct Weighted Pruning
Pattern Recognition Letters
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The nearest-neighbor algorithm and its derivatives have been shown to perform well for pattern classification. Despite their high classification accuracy, they suffer from high storage requirement, computational cost, and sensitivity to noise. We develop a new framework, called ICPL (Integrated Concept Prototype Learner), which integrates instance-filtering and instance-abstraction techniques by maintaining a balance of different kinds of concept prototypes according to instance locality. The abstraction component, based on typicality, employed in our ICPL framework is specially designed for concept integration. We have conducted experiments on a total of 50 real-world benchmark data sets. We find that our ICPL framework maintains or achieves better classification accuracy and gains a significant improvement in data reduction compared with existing filtering and abstraction techniques as well as some existing techniques.