Artificial Intelligence Review - Special issue on lazy learning
Discretisation in Lazy Learning Algorithms
Artificial Intelligence Review - Special issue on lazy learning
The Racing Algorithm: Model Selection for Lazy Learners
Artificial Intelligence Review - Special issue on lazy learning
Artificial Intelligence Review - Special issue on lazy learning
Indexing without Invariants in 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reduction Techniques for Instance-BasedLearning Algorithms
Machine Learning
Proceedings of the ninth international conference on Information and knowledge management
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Applied Intelligence
Adaptive Metric Kernel Regression
Journal of VLSI Signal Processing Systems
Locally Adaptive Metric Nearest-Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Transformation-Invariant Clustering Using the EM Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Rough Sets Reduction Techniques for Case-Based Reasoning
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Non-linear dimensionality reduction techniques for classification and visualization
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature selection based on a modified fuzzy C-means algorithm with supervision
Information Sciences—Informatics and Computer Science: An International Journal
Data mining tasks and methods: Classification: nearest-neighbor approaches
Handbook of data mining and knowledge discovery
Character Recognition by Adaptive Statistical Similarity
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Adaptive Quasiconformal Kernel Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locally linear metric adaptation for semi-supervised clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Constructive Incremental Learning from Only Local Information
Neural Computation
An intelligent web-page classifier with fair feature-subset selection
Engineering Applications of Artificial Intelligence
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Pattern Recognition Letters
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm
Intelligent Data Analysis
Setting attribute weights for k-NN based binary classification via quadratic programming
Intelligent Data Analysis
A reduction technique for nearest-neighbor classification: Small groups of examples
Intelligent Data Analysis
Increasing classification efficiency with multiple mirror classifiers
Expert Systems with Applications: An International Journal
Weighted locally linear embedding for dimension reduction
Pattern Recognition
Difference Histograms: A new tool for time series analysis applied to bearing fault diagnosis
Pattern Recognition Letters
Trajectory prediction: learning to map situations to robot trajectories
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Prototype selection based on sequential search
Intelligent Data Analysis
A Framework for Designing a Fuzzy Rule-Based Classifier
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Kernel-based metric learning for semi-supervised clustering
Neurocomputing
International Journal of Computer Vision
Noise reduction for instance-based learning with a local maximal margin approach
Journal of Intelligent Information Systems
Learning distance functions for image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Adaptation for multiple cue integration
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Learning low-rank kernel matrices for constrained clustering
Neurocomputing
A novel two-level nearest neighbor classification algorithm using an adaptive distance metric
Knowledge-Based Systems
Kernel-Based metric adaptation with pairwise constraints
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Learning similarity measures: a formal view based on a generalized CBR model
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
Analogy-based reasoning in classifier construction
Transactions on Rough Sets IV
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Nearest-neighbor interpolation algorithms have many usefulproperties for applications to learning, but they often exhibitpoor generalization. In this paper, it is shown that much bettergeneralization can be obtained by using a variable interpolationkernel in combination with conjugate gradient optimization of thesimilarity metric and kernel size. The resulting method is calledvariable-kernel similarity metric (VSM) learning. It has beentested on several standard classification data sets, and on theseproblems it shows better generalization than backpropagation andmost other learning methods. The number of parameters that must bedetermined through optimization are orders of magnitude less thanfor backpropagation or radial basis function (RBF) networks, whichmay indicate that the method better captures the essential degreesof variation in learning. Other features of VSM learning arediscussed that make it relevant to models for biological learningin the brain.