LGJun 21, 2014

From conformal to probabilistic prediction

arXiv:1406.5600v113 citations
Originality Synthesis-oriented
AI Analysis

This work addresses probabilistic prediction for machine learning applications, but it appears incremental as it builds on existing conformal prediction techniques.

The paper tackles the problem of probabilistic prediction by developing a new method based on conformal prediction, achieving encouraging results on the standard USPS dataset.

This paper proposes a new method of probabilistic prediction, which is based on conformal prediction. The method is applied to the standard USPS data set and gives encouraging results.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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