We provide a general theory of which samples should be used to learn models for each source. This theory is applicable in a broad decision-theoretic learning ...
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Abstract. We consider the problem of learning accurate models from multiple sources of “nearby” data. Given distinct samples from multiple data sources and ...
We consider the problem of learning accurate models from multiple sources of "nearby" data. Given distinct samples from multiple data sources and estimates of ...
Mar 7, 2018 · We want them to ask questions and then actively seek out answers by locating and reading or viewing multiple sources—articles, books, videos, ...
Feb 15, 2023 · I would take a look at a textbook aimed at your language and take inspiration from (read: copy) how it balances activities/resources. Learners ...
Feb 22, 2023 · This paper considers a more general scenario where data are available from multiple heterogeneous sources. Each source, with its specific data ...
What are your methods to learn something new using ... - Quora
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Sep 3, 2013 · 1. look at all the resources at your disposal, or find more. · 2. look of the common facts that they all tell you. · 3. memorize these facts · 4.
A general theory of which samples should be used to learn models for each source of "nearby" data is provided, applicable in a broad decision-theoretic ...
Sep 2, 2011 · I have training instances that come from different sources so building one model doesn't work well. Is there a known method to use in such cases?
We consider the problem of learning accurate models from multiple sources of "nearby" data. Given distinct samples from multiple data sources and estimates ...