Skip to search formSkip to main content>Semantic Scholar Semantic Scholar's Logo

Search

You are currently offline. Some features of the site may not work correctly.

Semantic Scholar uses AI to extract papers important to this topic.

Review

2020

Review

2020

Since the seminal paper by Marzetta from 2010, Massive MIMO has changed from being a theoretical concept with an infinite number… Expand

Review

2019

Review

2019

Static robust optimization (RO) is a methodology to solve mathematical optimization problems with uncertain data. The objective… Expand

Review

2019

Review

2019

The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as drones, is rapidly growing. In particular… Expand

Review

2018

Review

2018

Plastic pollution has become the new millennium's tragedy of the commons. This is particularly true with the marine debris… Expand

Review

2017

Review

2017

In an increasingly networked world in which information is becoming increasingly actual, how can a system know with certainty… Expand

Highly Cited

2014

Highly Cited

2014

We marry ideas from deep neural networks and approximate Bayesian inference to derive a generalised class of deep, directed… Expand

Highly Cited

2012

Highly Cited

2012

The use of machine learning algorithms frequently involves careful tuning of learning parameters and model hyperparameters… Expand

Highly Cited

2010

Highly Cited

2010

We explore an original strategy for building deep networks, based on stacking layers of denoising autoencoders which are trained… Expand

Highly Cited

2004

Highly Cited

2004

ECONOMIC theory has suffered in the past from a failure to state clearly its assumptions. Economists in building up a theory have… Expand

Highly Cited

1996

Highly Cited

1996

Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely studied… Expand