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Classification

15,803 papers

Papers per year

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Papers

Sparse Boosting JMLR 2006
One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
Worst-Case Analysis of Selective Sampling for Linear Classification JMLR 2006
Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006
Ensemble Pruning Via Semi-definite Programming JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006
Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
Kernel-Based Learning of Hierarchical Multilabel Classification Models JMLR 2006
Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006
Large Scale Transductive SVMs JMLR 2006
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Incremental Support Vector Learning: Analysis, Implementation and Applications JMLR 2006
A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006
Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss JMLR 2006
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation JMLR 2006
Estimation of Gradients and Coordinate Covariation in Classification JMLR 2006
On Representing and Generating Kernels by Fuzzy Equivalence Relations JMLR 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006