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738 results for “castamg”

  1. "Estimating the #replicability of Brazilian #biomedical #science"

    ... Replication rates for these experiments varied between 15 and 45% according to five predefined criteria ...

    #Brazil

    biorxiv.org/content/10.1101/20

  2. arxiv.org/abs/2503.05628 - "Superintelligence Strategy: Expert Version"

    '... Mutual Assured AI Malfunction ...' (#MAIM).
    A less than optimistic vision about how to manage #AI in the not to distant future. More than a bit #dystopic and depressing.

  3. arxiv.org/abs/2503.05628 - "Superintelligence Strategy: Expert Version"

    '... Mutual Assured AI Malfunction ...' (#MAIM).
    A less than optimistic vision about how to manage #AI in the not to distant future. More than a bit #dystopic and depressing.

  4. arxiv.org/abs/2503.05628 - "Superintelligence Strategy: Expert Version"

    '... Mutual Assured AI Malfunction ...' (#MAIM).
    A less than optimistic vision about how to manage #AI in the not to distant future. More than a bit #dystopic and depressing.

  5. arxiv.org/abs/2503.05628 - "Superintelligence Strategy: Expert Version"

    '... Mutual Assured AI Malfunction ...' (#MAIM).
    A less than optimistic vision about how to manage #AI in the not to distant future. More than a bit #dystopic and depressing.

  6. arxiv.org/abs/2503.05628 - "Superintelligence Strategy: Expert Version"

    '... Mutual Assured AI Malfunction ...' (#MAIM).
    A less than optimistic vision about how to manage #AI in the not to distant future. More than a bit #dystopic and depressing.

  7. For this week's #MapPromptMonday , a bivariate map showing the relation between the #HDI (at the province level), and the "government density" that measures the presence of government in a given region.

    Highest HDI and gov density are mostly concentrated on the coast of #Peru

    #Rstats code at: github.com/jmcastagnetto/my_ma

  8. "Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers"

    arxiv.org/abs/2402.01502

    '... Despite their remarkable effectiveness and broad application, the drivers of success underlying ensembles of trees are still not fully understood. In this paper, we highlight how interpreting tree ensembles as adaptive and self-regularizing smoothers can provide new intuition and deeper insight to this topic...'

    #MachineaLearning #ML #RandomForest