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Optimization

14207 directly classified papers

Papers per year

Papers

Fast Computation of Graph Kernels NIPS 2006
No-regret Algorithms for Online Convex Programs NIPS 2006
Structured Prediction, Dual Extragradient and Bregman Projections JMLR 2006
Sparse Boosting JMLR 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
An Efficient Implementation of an Active Set Method for SVMs JMLR 2006
Nonnegative Sparse PCA NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Large-Scale Sparsified Manifold Regularization NIPS 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Bayesian Network Learning with Parameter Constraints JMLR 2006
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Streamwise Feature Selection JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
Efficient sparse coding algorithms NIPS 2006
Exploiting Locality in SLAM by Nested Dissection RSS 2006
Stability of $K$-Means Clustering NIPS 2006
Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006