Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Machine Learning
Self-organizing maps
The handbook of brain theory and neural networks
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Neural Networks
Self-organizing map for clustering in the graph domain
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Automatic Hyperparameter Tuning for Support Vector Machines
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Rule Extraction from Self-Organizing Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
How to make large self-organizing maps for nonvectorial data
Neural Networks - New developments in self-organizing maps
Generalized relevance learning vector quantization
Neural Networks - New developments in self-organizing maps
Soft learning vector quantization
Neural Computation
Sparse bayesian learning and the relevance vector machine
The Journal of Machine Learning Research
Rademacher and gaussian complexities: risk bounds and structural results
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Supervised Neural Gas with General Similarity Measure
Neural Processing Letters
Neural maps in remote sensing image analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Comparison of adaptive methods for function estimation from samples
IEEE Transactions on Neural Networks
Anisotropic noise injection for input variables relevance determination
IEEE Transactions on Neural Networks
K-winner machines for pattern classification
IEEE Transactions on Neural Networks
Bankruptcy analysis with self-organizing maps in learning metrics
IEEE Transactions on Neural Networks
Fuzzy classification by fuzzy labeled neural gas
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Performance analysis of LVQ algorithms: a statistical physics approach
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Margin-based active learning for LVQ networks
Neurocomputing
Dynamics and Generalization Ability of LVQ Algorithms
The Journal of Machine Learning Research
Cancer informatics by prototype networks in mass spectrometry
Artificial Intelligence in Medicine
Distance learning in discriminative vector quantization
Neural Computation
Adaptive relevance matrices in learning vector quantization
Neural Computation
Perspectives of self-adapted self-organizing clustering in organic computing
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Learning vector quantization classification with local relevance determination for medical data
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Adaptive metric learning vector quantization for ordinal classification
Neural Computation
Texture feature ranking with relevance learning to classify interstitial lung disease patterns
Artificial Intelligence in Medicine
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
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We derive a generalization bound for prototype-based classifiers with adaptive metric. The bound depends on the margin of the classifier and is independent of the dimensionality of the data. It holds for classifiers based on the Euclidean metric extended by adaptive relevance terms. In particular, the result holds for relevance learning vector quantization (RLVQ) [4] and generalized relevance learning vector quantization (GRLVQ) [19].