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Mathematics

5,735 papers (8 classified directly here)

Subtopics

Graph Theory (1,376) Statistics (1,273) Probability (1,045) Geometry (720) Information Theory (498) Discrete Mathematics (484) Linear Algebra (480) Numerical Analysis (349) Algebra (68) Signal Processing (67) Topology (41) Functional Analysis (23) Logic (13) Differential Equations (6)

Papers per year

11
57
247
551
246
'05
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Papers (including subtopics)

Learning Factor Graphs in Polynomial Time and Sample Complexity JMLR 2006
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events JMLR 2006
Walk-Sums and Belief Propagation in Gaussian Graphical Models JMLR 2006
Distance Patterns in Structural Similarity JMLR 2006
Learning a Hidden Hypergraph JMLR 2006
Accurate Error Bounds for the Eigenvalues of the Kernel Matrix JMLR 2006
Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006
Linear State-Space Models for Blind Source Separation JMLR 2006
A Robust Procedure For Gaussian Graphical Model Search From Microarray Data With p Larger Than n JMLR 2006
Pursuit and evasion in non-convex domains of arbitrary dimensions RSS 2006
Multi-loop Position Analysis via Iterated Linear Programming RSS 2006
Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints RSS 2006
Computing Smooth Feedback Plans Over Cylindrical Algebraic Decompositions RSS 2006
Generation of Point-contact State Space between Strictly Curved Objects RSS 2006
Information Bottleneck for Gaussian Variables JMLR 2005
Estimation of Non-Normalized Statistical Models by Score Matching JMLR 2005
Quasi-Geodesic Neural Learning Algorithms Over the Orthogonal Group: A Tutorial JMLR 2005
Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005
Semigroup Kernels on Measures JMLR 2005
Maximum Margin Algorithms with Boolean Kernels JMLR 2005
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Clustering with Bregman Divergences JMLR 2005
Kernel Methods for Measuring Independence JMLR 2005
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005
Expectation Consistent Approximate Inference JMLR 2005