Well-Calibrated Predictions from Online Compression Models
نویسنده
چکیده
It has been shown recently that Transductive Confidence Machine (TCM) is automatically well-calibrated when used in the on-line mode and provided that the data sequence is generated by an exchangeable distribution. In this paper we strengthen this result by relaxing the assumption of exchangeability of the data-generating distribution to the much weaker assumption that the data agrees with a given “on-line compression model”.
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عنوان ژورنال:
- Theor. Comput. Sci.
دوره 364 شماره
صفحات -
تاریخ انتشار 2003