156 citations · 950 across the 61 of their papers we have counts for
8 papers · 1 filter
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection
Luke R Harries, Suyi Zhang, Geoffroy Dubourg-Felonneau +7
DNA sequencing to identify genetic variants is becoming increasingly valuable in clinical settings. Assessment of variants in such sequencing data is commonly implemented through B…
Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding
Gaurav Singh, James Thomas, Iain J. Marshall +2
We propose a model for tagging unstructured texts with an arbitrary number of terms drawn from a tree-structured vocabulary (i.e., an ontology). We treat this as a special case of…
Faster Convergence & Generalization in DNNs
Gaurav Singh, John Shawe-Taylor
Deep neural networks have gained tremendous popularity in last few years. They have been applied for the task of classification in almost every domain. Despite the success, deep ne…
Spatiotemporal Prediction of Ambulance Demand using Gaussian Process Regression
Seth Nabarro, Tristan Fletcher, John Shawe-Taylor
Accurately predicting when and where ambulance call-outs occur can reduce response times and ensure the patient receives urgent care sooner. Here we present a novel method for ambu…
PAC-Bayes bounds for stable algorithms with instance-dependent priors
Omar Rivasplata, Emilio Parrado-Hernandez, John Shawe-Taylor +2
PAC-Bayes bounds have been proposed to get risk estimates based on a training sample. In this paper the PAC-Bayes approach is combined with stability of the hypothesis learned by a…
Adaptive Mechanism Design: Learning to Promote Cooperation
Tobias Baumann, Thore Graepel, John Shawe-Taylor
In the future, artificial learning agents are likely to become increasingly widespread in our society. They will interact with both other learning agents and humans in a variety of…