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Eibe Frank on Muck Rack

Eibe Frank

New Zealand
As seen in: Nature, Taylor & Francis Online, The Fintech Blueprint (Podcast), Data Science Central
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Articles

Experiments with optimal model trees

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By Eibe Frank, Sabino Francesco Roselli
| Nature Verified
Abstract Model trees provide an appealing way to perform interpretable machine learning for both classification and regression problems. In contrast to “classic” decision trees with constant values in their leaves, model trees can use linear combinations of predictor variables in their leaf nodes to form predictions, which can help achieve higher accuracy and smaller trees.
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Automatic species identification from images for Aotearoa

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By Hongyu Wang, Eibe Frank, Varvara Vetrova, Paul Schlumbom
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Image classification for species identification has applications in areas such as conservation and education.
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AI: How Stripe, Block, and PayPal are using Model Context Protocol

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By Ian H. Witten, Eibe Frank, Mark Hall, Christopher Pal
| The Fintech Blueprint (Podcast)
Hi Fintech Futurists — You might have heard about Model Context Protocol and its implications for the AI industry. Today, we discuss how it can also connect to finance. AI: The Next Evolution in Agentic Finance with Model Context Protocol? MCP is an open framework enabling seamless and secure interactions between AI models and external data or services.
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