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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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Papers (including subtopics)

Domain Adaptation with Multiple Sources NIPS 2008
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
Regularized Learning with Networks of Features NIPS 2008
Breaking Audio CAPTCHAs NIPS 2008
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection NIPS 2008
Differentiable Sparse Coding NIPS 2008
Inferring rankings under constrained sensing NIPS 2008
Sparse Convolved Gaussian Processes for Multi-output Regression NIPS 2008
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NIPS 2008
Multi-task Gaussian Process Learning of Robot Inverse Dynamics NIPS 2008
Efficient Inference in Phylogenetic InDel Trees NIPS 2008
Estimating vector fields using sparse basis field expansions NIPS 2008
Probabilistic detection of short events, with application to critical care monitoring NIPS 2008
Spectral Clustering with Perturbed Data NIPS 2008
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG NIPS 2008
Multi-stage Convex Relaxation for Learning with Sparse Regularization NIPS 2008
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NIPS 2008
A Scalable Hierarchical Distributed Language Model NIPS 2008
Supervised Exponential Family Principal Component Analysis via Convex Optimization NIPS 2008
Stochastic Relational Models for Large-scale Dyadic Data using MCMC NIPS 2008
Online Models for Content Optimization NIPS 2008
Robust Regression and Lasso NIPS 2008
Hierarchical Fisher Kernels for Longitudinal Data NIPS 2008
Correlated Bigram LSA for Unsupervised Language Model Adaptation NIPS 2008
The Infinite Factorial Hidden Markov Model NIPS 2008