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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

5
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527
1644
10862
15958
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Papers (including subtopics)

Receptive Fields without Spike-Triggering NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Neural characterization in partially observed populations of spiking neurons NIPS 2007
Bayesian Agglomerative Clustering with Coalescents NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models NIPS 2007
Structured Learning with Approximate Inference NIPS 2007
On Ranking in Survival Analysis: Bounds on the Concordance Index NIPS 2007
Competition Adds Complexity NIPS 2007
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
Bayesian Policy Learning with Trans-Dimensional MCMC NIPS 2007
Temporal Difference Updating without a Learning Rate NIPS 2007
Bayes-Adaptive POMDPs NIPS 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
Learning Bounds for Domain Adaptation NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information NIPS 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes NIPS 2007
Kernels on Attributed Pointsets with Applications NIPS 2007
Testing for Homogeneity with Kernel Fisher Discriminant Analysis NIPS 2007