TAG: kernel_methods_and_support_vector_machines

PageDateDiscussion
A Dual Coordinate Descent Method for Large-scale Linear SVM (2008)   0 Comments
A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances (2008)   0 Comments
A generalization of Haussler's convolution kernel - mapping kernel (2008)   0 Comments
Accurate max-margin training for structured output spaces (2008)   0 Comments
Active Kernel Learning (2008)   0 Comments
Adaptive p-Posterior Mixture-Model Kernels for Multiple Instance Learning (2008)   0 Comments
An RKHS for Multi-View Learning and Manifold Co-Regularization (2008)   0 Comments
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression (2008)   0 Comments
Composite Kernel Learning (2008)   0 Comments
Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators (2008)   0 Comments
Fast Support Vector Machine Training and Classification on Graphics Processors (2008)   0 Comments
Graph kernels between point clouds (2008)   0 Comments
Grassmann Discriminant Analysis: a Unifying View on Subspace-Based Learning (2008)   0 Comments
Learning from Incomplete Data with Infinite Imputations (2008)   0 Comments
Localized Multiple Kernel Learning (2008)   0 Comments
Nearest Hyperdisk Methods for High-Dimensional Classification (2008)   0 Comments
Nonextensive Entropic Kernels (2008)   0 Comments
Nu-Support Vector Machine as Conditional Value-at-Risk Minimization (2008)   0 Comments
Optimized Cutting Plane Algorithm for Support Vector Machines (2008)   0 Comments
Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification (2008)   0 Comments
Polyhedral Classifier for Target Detection A Case Study: Colorectal Cancer (2008)   0 Comments
Predicting Diverse Subsets Using Structural SVMs (2008)   0 Comments
Robust Matching and Recognition using Context-Dependent Kernels (2008)   0 Comments
SVM Optimization: Inverse Dependence on Training Set Size (2008)   3 Comments
Sequence Kernels for Predicting Protein Essentiality (2008)   0 Comments
Sparse Multiscale Gaussian Process Regression (2008)   0 Comments
Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines (2008)   0 Comments
Tailoring Density Estimation via Reproducing Kernel Moment Matching (2008)   0 Comments
The skew spectrum of graphs (2008)   0 Comments
Training SVM with Indefinite Kernels (2008)   0 Comments
Training Structural SVMs when Exact Inference is Intractable (2008)   0 Comments
 
 
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