Results 31 to 40 of about 409,822 (170)
Hardware Design for Autonomous Bayesian Networks
Frontiers in Computational Neuroscience, 2021 Directed acyclic graphs or Bayesian networks that are popular in many AI-related sectors for probabilistic inference and causal reasoning can be mapped to probabilistic circuits built out of probabilistic bits (p-bits), analogous to binary stochastic ...
Rafatul Faria +3 more
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Wiggles and Curves: The Analysis of Ordinal Patterns
Problemy Zarządzania, 2016 Almost all social science data are analysed with variants of the General Linear Model (GLM): regression analyses, analyses of variance, factor analyses, path analyses and the like.
Warren Thorngate, Chunyun Ma
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Corela, 2010 In the context of scène verbale (verbal scene), this paper deals with the semantics of the preposition sur as a locative marker in competition with preposition à in phrases including names of cities. Our study comprises two sections.
Patricia C. Hernández
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Les proverbes et l’air du temps
Multilinguales, 2013 Our experience and our spatio-temporal environment (the situational context) nourish popular wisdom. A new situation- the autumnal spring, from which Western Europe suffered in 2013 – led to the creation of new proverbs in Spain.
Sonia Fournet‑Perot
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Mind & Language, 2021 Predicate nominals (e.g., “is a female”) seem to label or categorize their subjects, while their adjectival correlates (e.g., “is female”) merely attribute a property. Predicate nominals also elicit essentializing inferential judgments about inductive potential and stable explanatory membership.
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Big issues for big data: challenges for critical spatial data analytics
Journal of Spatial Information Science, 2020 In this paper we consider some of the issues of working with big data and big spatial data and highlight the need for an open and critical framework. We focus on a set of challenges underlying the collection and analysis of big data.
Chris Brunsdon, Alexis Comber
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Frontiers in NeuroscienceUnderstanding cognitive processes in the brain demands sophisticated models capable of replicating neural dynamics at large scales. We present a physiologically inspired speech recognition architecture, compatible and scalable with deep learning ...
Alexandre Bittar +2 more
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On the use of recognition in inferential decision making: An overview of the debate
Judgment and Decision Making, 2011 I describe and discuss the sometimes heated controversy surrounding the recognition heuristic (RH) as a model of inferential decision making. After briefly recapitulating the history of the RH up to its current version, I critically evaluate several ...
Rüdiger F. Pohl +3 more
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TICTAC: target illumination clinical trial analytics with cheminformatics
Frontiers in BioinformaticsIntroductionIdentifying disease–target associations is a pivotal step in drug discovery, offering insights that guide the development and optimization of therapeutic interventions.
Jeremiah I. Abok +2 more
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Probabilistic Alternatives to Bayesianism: The Case of Explanationism
Frontiers in Psychology, 2015 There has been a probabilistic turn in contemporary cognitive science. Far and away, most of the work in this vein is Bayesian, at least in name. Coinciding with this development, philosophers have increasingly promoted Bayesianism as the best normative ...
Igor eDouven, Jonah N. Schupbach
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