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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)

Learning When Concepts Abound JMLR 2009
Hash Kernels for Structured Data JMLR 2009
Bounded Kernel-Based Online Learning JMLR 2009
Structure Spaces JMLR 2009
Learning Halfspaces with Malicious Noise JMLR 2009
Reproducing Kernel Banach Spaces for Machine Learning JMLR 2009
Cautious Collective Classification JMLR 2009
Adaptive False Discovery Rate Control under Independence and Dependence JMLR 2009
Online Learning with Samples Drawn from Non-identical Distributions JMLR 2009
Efficient Online and Batch Learning Using Forward Backward Splitting JMLR 2009
A Survey of Accuracy Evaluation Metrics of Recommendation Tasks JMLR 2009
Learning of 2D grasping strategies from box-based 3D object approximations RSS 2009
Approximating displacement with the body velocity integral RSS 2009
Tactile texture recognition with a 3-axial force MEMS integrated artificial finger RSS 2009
On the consistency of multi-robot cooperative localization RSS 2009
Using the distribution theory to simultaneously calibrate the sensors of a mobile robot RSS 2009
Unsupervised discovery of object classes from range data using latent Dirichlet allocation RSS 2009
Accurate rough terrain estimation with space-carving kernels RSS 2009
3D laser scan classification using web data and domain adaptation RSS 2009
POMDPs for robotic tasks with mixed observability RSS 2009
Non-parametric learning to aid path planning over slopes RSS 2009
An Ab-initio tree-based exploration to enhance sampling of low-energy protein conformations RSS 2009
Time-extended multi-robot coordination for domains with intra-path constraints RSS 2009
Near-minimax recursive density estimation on the binary hypercube NIPS 2008
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008