Publications associées à Lower Bounds on Active Learning for Graphical Model Selection

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Random sampling of bandlimited signals on graphs

Pierre Vandergheynst, Rémi Gribonval, Gilles Puy, Nicolas Tremblay

We study the problem of sampling

k

-bandlimited signals on graphs. We propose two sampling strategies that consist in selecting a small subset of nodes at random. The first strategy is non-adaptive, \ie, independent of the graph structure, and its perform ...

2015

Lower Bounds on Active Learning for Graphical Model Selection

Graph Chatbot

Chattez avec Graph Search

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Random sampling of bandlimited signals on graphs

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Random sampling of bandlimited signals on graphs

Temporally Consistent Snow Cover Estimation from Noisy, Irregularly Sampled Measurements

Active learning for monitoring network optimization

Privacy and Dynamics of Social Networks

Semi-Markov model for simulating MOOC students

SVM Active Learning Approach for Image Classification Using Spatial Information

Active Learning of Self-concordant like Multi-index Functions

Automatic Hand Phantom Map Detection Methods

Approximations for Stochastic Graph Rewriting

Introducing Geometry in Active Learning for Image Segmentation