← Core Methods
Machine Learning › Core Methods ›

Metric Learning

2800 directly classified papers

Papers per year

Papers

Kernels on Structured Objects Through Nested Histograms NIPS 2006
Balanced Graph Matching NIPS 2006
Doubly Stochastic Normalization for Spectral Clustering NIPS 2006
Semigroup Kernels on Measures JMLR 2005
Efficient Margin Maximizing with Boosting JMLR 2005
Maximum Margin Algorithms with Boolean Kernels JMLR 2005
Learning the Kernel Function via Regularization JMLR 2005
Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005
Kernel Methods for Measuring Independence JMLR 2005
Probability Product Kernels JMLR 2004
Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004
Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004
Learning the Kernel Matrix with Semidefinite Programming JMLR 2004
The Minimum Error Minimax Probability Machine JMLR 2004
Distance-Based Classification with Lipschitz Functions JMLR 2004
Feature Discovery in Non-Metric Pairwise Data JMLR 2004
On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines JMLR 2003
Word-Sequence Kernels JMLR 2003
FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples JMLR 2003
Feature Extraction by Non-Parametric Mutual Information Maximization JMLR 2003
Ranking a Random Feature for Variable and Feature Selection JMLR 2003
Kernel Methods for Relation Extraction JMLR 2003
Beyond Independent Components: Trees and Clusters JMLR 2003
Text Classification using String Kernels JMLR 2002
A Generalized Kernel Approach to Dissimilarity-based Classification JMLR 2001