conftrace_
← Core Methods
Machine Learning › Core Methods ›

Support Vector Machine

254 papers

Papers per year

1
8
7
6
6
4
'00
'05
'10
'15
'20
'25

Papers

Guarantees for Approximate Incremental SVMs AISTATS 2010
Analysis of SVM with Indefinite Kernels NIPS 2009
Adaptive Regularization for Transductive Support Vector Machine NIPS 2009
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009
Performance analysis for L\_2 kernel classification NIPS 2008
Support Vector Machines with a Reject Option NIPS 2008
Tighter Bounds for Structured Estimation NIPS 2008
Relative Margin Machines NIPS 2008
Fast Rates for Regularized Objectives NIPS 2008
Sparsity of SVMs that use the epsilon-insensitive loss NIPS 2008
Extended Grassmann Kernels for Subspace-Based Learning NIPS 2008
Max-margin Classification of Data with Absent Features JMLR 2008
On the Suitable Domain for SVM Training in Image Coding JMLR 2008
How SVMs can estimate quantiles and the median NIPS 2007
Bundle Methods for Machine Learning NIPS 2007
Multi-Task Learning via Conic Programming NIPS 2007
Configuration Estimates Improve Pedestrian Finding NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007