k-nearest neighbor

Heterogeneous-Neighborhood-based Multi-Task Local Learning Algorithms NeurIPS 2013 Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning ICML 2013 Tree-Independent Dual-Tree Algorithms ICML 2013 A Ranking-based KNN Approach for Multi-Label Classification ACML 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Non-linear Metric Learning NeurIPS 2012 Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012 Efficient anomaly detection using bipartite k-NN graphs NeurIPS 2011 k-NN Regression Adapts to Local Intrinsic Dimension NeurIPS 2011 On the Estimation of α-Divergences AISTATS 2011 Large Margin Multi-Task Metric Learning NeurIPS 2010 Breaking Audio CAPTCHAs NeurIPS 2008 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 Geometric entropy minimization (GEM) for anomaly detection and localization NeurIPS 2006 Large Margin Component Analysis NeurIPS 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006 FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003 Multiple-Instance Learning of Real-Valued Data JMLR 2002