Results 11 to 20 of about 409,822 (170)
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
Friston, K. +4 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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, 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
Raju, Rajkumar Vasudeva +3 more
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Journal of Islamic and Religious Studies, 2021 This research aims to prove the Islamic Jurists rule “Naqḍ al Istidlāl bi Ithbāt ‘annahu U'wwalu i’la al Maḥāl”. The main research problem lies in the “Maḥāl”, its limits, types, and ways of proving it.
Saeed bin Ahmad Salih Faraj
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Detecting Confounding in Multivariate Linear Models via Spectral Analysis
Journal of Causal Inference, 2018 We study a model where one target variable Y$Y$ is correlated with a vector X:=(X1,…,Xd)$\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of Y$Y$.
Janzing Dominik, Schölkopf Bernhard
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One versus two doses: What is the best use of vaccine in an influenza pandemic?
Epidemics, 2015 Avian influenza A (H7N9), emerged in China in April 2013, sparking fears of a new, highly pathogenic, influenza pandemic. In addition, avian influenza A (H5N1) continues to circulate and remains a threat.
Laura Matrajt +3 more
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IEEE Access, 2023 Realization of situation-awareness for autonomous robotics applications in edge computing environment is challenging. First, computing capabilities of edge devices are limited, which must be considered in the execution of machine learning (ML)-based ...
Pekka Paakkonen, Daniel Pakkala
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Amplification, Inference, and the Manifestation of Objective Classical Information
Entropy, 2022 Our everyday reality is characterized by objective information—information that is selected and amplified by the environment that interacts with quantum systems.
Michael Zwolak
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Inferring a Property of a Large System from a Small Number of Samples
Entropy, 2022 Inferring the value of a property of a large stochastic system is a difficult task when the number of samples is insufficient to reliably estimate the probability distribution.
Damián G. Hernández, Inés Samengo
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Cognitive Research Methods in Linguistics: Conceptual-Inferential Analysis
RUDN Journal of Language Studies, Semiotics and Semantics, 2023 In studying language modern linguistics takes into account the users’ personality and their role as interpreters, arguing that language does not only convey a person’s knowledge of the world in one format or another, but also interprets it in a certain ...
Nikolay N. Boldyrev, Elena V. Fedyaeva
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