Biblio Discovery — Demo Discovery Service

8 hasil untuk "Benjamin Recht"

Menampilkan 1–8 · 1,24 detik · RSS

  1. Artikel Jurnal Teks lengkap

    Meaningless comparisons lead to false optimism in medical machine learning.

    Orianna DeMasi; Konrad Kording; Benjamin Recht

    PLoS ONE, Vol. 12 No. 9 · 2017 · Inggris · DOAJ Scopus

    A new trend in medicine is the use of algorithms to analyze big datasets, e.g. using everything your phone measures about you for diagnostics or monitoring. However, these algorithms are commonly compared against weak baselines, which may contribute to excessive optimism. To assess how well an…

    Juga tersedia di: PLOS

  2. Artikel Jurnal

    Re-analysis on the statistical sampling biases of a mask promotion trial in Bangladesh: a statistical replication

    Maria Chikina; Wesley Pegden; Benjamin Recht

    Trials, Vol. 23 No. 1 · 2022 · Inggris · DOAJ Scopus

    Abstract A recent randomized trial evaluated the impact of mask promotion on COVID-19-related outcomes. We find that staff behavior in both unblinded and supposedly blinded steps caused large and statistically significant imbalances in population sizes. These denominator differences constitute the…

  3. Artikel Jurnal Teks lengkap

    Understanding deep learning (still) requires rethinking generalization

    Chiyuan Zhang; Samy Bengio; Moritz Hardt dkk.

    Communications of the ACM · 2021 · Inggris · OpenAlex Scopus

    Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small gap between training and test performance. Conventional wisdom attributes small generalization error either to properties of the model family or to the regularization techniques used during…

  4. Artikel Jurnal

    A generalizable and accessible approach to machine learning with global satellite imagery

    Esther Rolf; Jonathan Proctor; Tamma Carleton dkk.

    Nature Communications, Vol. 12 No. 1 · 2021 · Inggris · DOAJ Scopus

    This paper presents MOSAIKS, a system for planet-scale prediction of multiple outcomes using satellite imagery and machine learning (SIML). MOSAIKS generalizes across prediction domains and has the potential to enhance accessibility of SIML across research disciplines.

  5. Artikel Jurnal Teks lengkap

    Alterations in Cerebrospinal Fluid Proteins in a Presymptomatic Primary Glioma Model

    John C. Whitin; Taichang Jang; Milton Merchant dkk.

    PLoS ONE, Vol. 7 No. 11 · 2012 · Inggris · PLOS Scopus

    Background: Understanding the early relationship between brain tumor cells and their environment could lead to more sensitive biomarkers and new therapeutic strategies. We have been using a rodent model of neurocarcinogenesis in which all animals develop brain tumors by six months of age to…

    Juga tersedia di: DOAJ