Results 11 to 20 of about 950,595 (308)
CoRR, 2023 Patterns of microcircuitry suggest that the brain has an array of repeated canonical computational units. Yet neural representations are distributed, so the relevant computations may only be related indirectly to single-neuron transformations. It thus remains an open challenge how to define canonical distributed computations. We integrate normative and
Rajkumar Vasudeva Raju +3 more
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Proceedings of the National Academy of Sciences, 2020 Significance Most statistical methods rely on certain mathematical conditions, known as regularity assumptions, to ensure their validity. Without these conditions, statistical quantities like P values and confidence intervals might not be valid.
Larry Wasserman +2 more
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Neural Computation, 2021 Active inference offers a first principle account of sentient behavior, from which special and important cases—for example, reinforcement learning, active learning, Bayes optimal inference, Bayes optimal design—can be derived. Active inference finesses the exploitation-exploration dilemma in relation to prior preferences by placing information gain on
Karl J. Friston +4 more
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y0-causal-inference/y0: Implementation of ID* and IDC*
, 2023 After a very long (almost two year) road, we have implemented a complete ID and IDC algorithm. This is based on Shpitser and Pearl, 2012, however it fixes several issues with the original algorithm returning incorrect results.
Jeremy Zucker +2 more
core +1 more source
Deep Learning for Causal Inference
, 2021 This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction on building and optimizing custom deep learning models and shows how to adapt ...
Tim Sainburg +6 more
core +1 more source
Foundations of Inference [PDF]
Axioms, 2012 We present a simple and clear foundation for finite inference that unites and significantly extends the approaches of Kolmogorov and Cox. Our approach is based on quantifying lattices of logical statements in a way that satisfies general lattice symmetries.
Kevin H. Knuth, John Skilling
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The language of insults: A look at Theme, Rheme and negative inferences
ExELL (Explorations in English Language and Linguistics), 2022 This paper examines the thematic structure of a corpus of insults using the inference-boundary model of Theme and Rheme. It focuses on the concept of negative inference—which must be generated for an insult to be successfully delivered—and shows how it ...
Leong Alvin Ping
doaj +1 more source
y0-causal-inference/y0: v0.2.5
, 2023 <h2>What's Changed</h2> <ul> <li>Update falsification by @cthoyt in https://github.com/y0-causal-inference/y0/pull/196</li> </ul> <p><strong>Full Changelog</strong>: https://github.com/y0-causal ...
Jeremy Zucker +4 more
core +1 more source
The predictive view of Bayesian inference [PDF]
, 2022 This thesis considers the direct connection between the prediction of future observations and Bayesian inference. Using prediction as a guide, we generalize the Bayesian framework and introduce new methodologies for parameter inference and model ...
Fong, Edwin
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Variational Inference for Logical Inference
CoRR, 2017 Functional Distributional Semantics is a framework that aims to learn, from text, semantic representations which can be interpreted in terms of truth. Here we make two contributions to this framework. The first is to show how a type of logical inference can be performed by evaluating conditional probabilities.
Emerson, Guy, Copestake, Ann
openaire +3 more sources