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Support Vector Machine

254 directly classified papers

Papers per year

Papers

A Conjugate Property between Loss Functions and Uncertainty Sets in Classification Problems COLT 2012
Maximum Margin Temporal Clustering AISTATS 2012
Unsupervised SVMs: On the Complexity of the Furthest Hyperplane Problem COLT 2012
Active Learning with Hinted Support Vector Machine ACML 2012
Learning from Distributions via Support Measure Machines NIPS 2012
The Lovász ϑ function, SVMs and finding large dense subgraphs NIPS 2012
Augmented-SVM: Automatic space partitioning for combining multiple non-linear dynamics NIPS 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging NIPS 2012
Perceptron Learning of SAT NIPS 2012
Approximating Concavely Parameterized Optimization Problems NIPS 2012
Learning with Recursive Perceptual Representations NIPS 2012
Sparse Additive Machine AISTATS 2012
Optimal learning rates for least squares SVMs using Gaussian kernels NIPS 2011
Maximum Margin Multi-Label Structured Prediction NIPS 2011
Infinite Latent SVM for Classification and Multi-task Learning NIPS 2011
Beating SGD: Learning SVMs in Sublinear Time NIPS 2011
Approximate Model Selection for Large Scale LSSVM ACML 2011
Efficient variable selection in support vector machines via the alternating direction method of multipliers AISTATS 2011
Multiple Kernel Learning and the SMO Algorithm NIPS 2010
Spectral Regularization for Support Estimation NIPS 2010
Spatial and anatomical regularization of SVM for brain image analysis NIPS 2010
Guarantees for Approximate Incremental SVMs AISTATS 2010
Learning Kernels with Radiuses of Minimum Enclosing Balls NIPS 2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NIPS 2010