UK Success Stories in Industrial Mathematics 2016
DOI: 10.1007/978-3-319-25454-8_23
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Detecting Unusual Behaviour and Mining Unstructured Data

Abstract: Conformal Prediction (CP) serves as a robust framework that quantifies uncertainty in predictions made by Machine Learning (ML) models. Unlike traditional point predictors, CP generates statistically valid prediction regions, also known as prediction intervals, based on the assumption of data exchangeability. Typically, the construction of conformal predictions hinges on p-values. This paper, however, ventures down an alternative path, harnessing the power of e-test statistics to augment the efficacy of confor… Show more

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“…We (51) developed three methods for identifying PubMed articles containing genetic mutations affecting PPIs (document triage task). Our first methodology, named Semantic Meaning Classifier with Interaction Network Ontology (SMC-INO), is centered on the idea of meaning computation based on the Helmholtz principle (52, 53). We calculate meaning values for each of the terms from the Interaction Network Ontology (54) present in the documents of each class.…”
Section: Resultsmentioning
confidence: 99%
“…We (51) developed three methods for identifying PubMed articles containing genetic mutations affecting PPIs (document triage task). Our first methodology, named Semantic Meaning Classifier with Interaction Network Ontology (SMC-INO), is centered on the idea of meaning computation based on the Helmholtz principle (52, 53). We calculate meaning values for each of the terms from the Interaction Network Ontology (54) present in the documents of each class.…”
Section: Resultsmentioning
confidence: 99%