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Optimal online prediction in adversarial environments

By Peter L. Bartlett

Abstract

In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modelled as an adversary with whom the predictor competes. Even decision problems that are not inherently adversarial can be usefully modeled in this way, since the assumptions are sufficiently weak that effective prediction strategies for adversarial settings are very widely applicable

Topics: 080200 COMPUTATION THEORY AND MATHEMATICS, prediction problems, computer security, computational finance
Publisher: Springer
Year: 2010
DOI identifier: 10.1007/978-3-642-16108-7_6
OAI identifier: oai:eprints.qut.edu.au:43974
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