منابع مشابه
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 ...
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As we say in the article, the two most important properties expected from confidence predictors are validity (they must tell the truth) and efficiency (the truth must be as informative as possible). Conformal predictors are automatically valid, so there is little to discuss here, but so far achieving efficiency has been an art, to a large degree, and Alexey Chervonenkis, Phil Long and Sally McC...
متن کاملHedging Predictions in Machine Learning: The Second Computer Journal Lecture
Recent advances in machine learning make it possible to design efficient prediction algorithms for data sets with huge numbers of parameters. This paper 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 fo...
متن کاملDiscussion on Hedging Predictions in Machine Learning by A. Gammerman and V. Vovk
Research Institute of Control Problems, Russian Academy of Science in Moscow, and Computer Learning Research Centre, Royal Holloway, University of London, London, UK. Email: [email protected] A large variety of machine-learning algorithms are now developed and applied in different areas of science and industry. This new technique has a typical drawback, that there is no confidence measure fo...
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A complexity of business dynamics often forces decision-makers to make decisions based on subjective mental models, reflecting their experience. However, research has shown that companies perform better when they apply data-driven decision-making. This creates an incentive to introduce intelligent, data-based decision models, which are comprehensive and support the interactive evaluation of dec...
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ژورنال
عنوان ژورنال: The Computer Journal
سال: 2007
ISSN: 1460-2067,0010-4620
DOI: 10.1093/comjnl/bxl065