Comparing Machine Learning Techniques for Predictions of Motorway Segment Crash Risk Level

Accurate contact predictions using covariation techniques and machine learning

Here we present the results of residue-residue contact predictions achieved in CASP11 by the CONSIP2 server, which is based around our MetaPSICOV contact prediction method. On a set of 40 target domains with a median family size of around 40 effective sequences, our server achieved an average top-L/5 long-range contact precision of 27%. MetaPSICOV method bases on a combination of classical cont...

Comparing Machine Learning Approaches for Fall Risk Assessment

Visualizations for Justifying Machine Learning Predictions

Machine learning has seen its uses continually grow into fields far removed from its computer science and statistical roots. Users with no training in machine learning and now confronted with the task of deciding whether to accept or reject a prediction from a machine learning algorithm that they do not have the training to understand. This system addresses this issue by providing visualization...

Hedging predictions in machine learning

Recent advances in machine learning make it possible to design efficient prediction algorithms for data sets with huge numbers of parameters. This article describes a new technique for ‘hedging’ the predictions output by many such algorithms, including support vector machines, kernel ridge regression, kernel nearest neighbours, and by many other state-of-the-art methods. The hedged predictions ...

Machine Learning for NLP: Supervised learning techniques

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