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Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

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Papers (including subtopics)

Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Learning transport operators for image manifolds NIPS 2009
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability NIPS 2009
Ensemble Nystrom Method NIPS 2009
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Regularized Distance Metric Learning:Theory and Algorithm NIPS 2009
Time-Varying Dynamic Bayesian Networks NIPS 2009
A General Projection Property for Distribution Families NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis NIPS 2009
Fast Learning from Non-i.i.d. Observations NIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection NIPS 2009
Optimal Scoring for Unsupervised Learning NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
A Generalized Natural Actor-Critic Algorithm NIPS 2009
Efficient Moments-based Permutation Tests NIPS 2009
Maximum likelihood trajectories for continuous-time Markov chains NIPS 2009
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness NIPS 2009
Sufficient Conditions for Agnostic Active Learnable NIPS 2009
The Ordered Residual Kernel for Robust Motion Subspace Clustering NIPS 2009
Learning to Rank by Optimizing NDCG Measure NIPS 2009
Slow Learners are Fast NIPS 2009
Tracking Dynamic Sources of Malicious Activity at Internet Scale NIPS 2009