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Papers (including subtopics)

A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NeurIPS 2006 An Approach to Bounded Rationality NeurIPS 2006 An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NeurIPS 2006 A recipe for optimizing a time-histogram NeurIPS 2006 A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006 A Small World Threshold for Economic Network Formation NeurIPS 2006 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Balanced Graph Matching NeurIPS 2006 Branch and Bound for Semi-Supervised Support Vector Machines NeurIPS 2006 Building Support Vector Machines with Reduced Classifier Complexity JMLR 2006 Conditional mean field NeurIPS 2006 Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NeurIPS 2006 Convex Repeated Games and Fenchel Duality NeurIPS 2006 Distance Patterns in Structural Similarity JMLR 2006 Distributed Coverage Control with Sensory Feedback for Networked Robots RSS 2006 Doubly Stochastic Normalization for Spectral Clustering NeurIPS 2006 Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006 Efficient sparse coding algorithms NeurIPS 2006 Ensemble Pruning Via Semi-definite Programming JMLR 2006 Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization JMLR 2006 Fast Computation of Graph Kernels NeurIPS 2006 Fast Iterative Kernel PCA NeurIPS 2006 Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problems JMLR 2006 Game Theoretic Algorithms for Protein-DNA binding NeurIPS 2006 Gaussian and Wishart Hyperkernels NeurIPS 2006