tdb40

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Mar 15, 2017

By tdb40

Machine Learning

Neural and Evolutionary Computation

Label propagation is a powerful and flexible semi-supervised learning technique on graphs. Neural networks, on the other hand, have proven track records in many supervised learning tasks. In this work, we propose a training framework with a graph-...

Label propagation is a powerful and flexible semi-supervised learning technique on graphs. Neural networks, on the other hand, have proven track re...

Nov 11, 2015

By tdb40

Conferences: test

Machine Learning

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural networks with multiple, infinitely wide hidden layers. DGPs are probabilistic and non-parametric and as s...

Deep Gaussian processes (DGPs) are multi-layer hierarchical generalisations of Gaussian processes (GPs) and are formally equivalent to neural netwo...

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tdb40

Projects

Neural Graph Machines: Learning Neural Networks Using Graphs

Training Deep Gaussian Processes using Stochastic Expectation Pro...

Credentials & highlights

Social

tdb40

Projects

Neural Graph Machines: Learning Neural Networks Using Graphs

Training Deep Gaussian Processes using Stochastic Expectation Pro...

Credentials & highlights

Social

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