Results 101 to 110 of about 124,938 (276)

Manifolds of classical probability distributions and quantum density operators in infinite dimensions

open access: yes, 2019
The manifold structure of subsets of classical probability distributions and quantum density operators in infinite dimensions is investigated in the context of $C^{*}$-algebras and actions of Banach-Lie groups.
Ciaglia, Florio M.   +3 more
core   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

open access: yesEpilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus   +7 more
wiley   +1 more source

Reengineering Fuzzy Spatiotemporal UML Data Model Into Fuzzy Spatiotemporal XML Model

open access: yesIEEE Access, 2017
Spatiotemporal information and application have received considerable attention. Spatiotemporal information is often imprecise or uncertain; therefore, the establishment of a reasonable and effective fuzzy spatiotemporal data model is vital.
Xu Chen, Li Yan, Weijun Li, Zongmin Ma
doaj   +1 more source

Empirical interpretation of imprecise probabilities [PDF]

open access: yes, 2017
This paper investigates the possibility of a frequentist interpretation of imprecise probabilities, by generalizing the approach of Bernoulli’s Ars Conjectandi.
Cattaneo, Marco
core  

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Causation, Probability, and the Continuity Bind [PDF]

open access: yes, 2017
Analyses of singular (token-level) causation often make use of the idea that a cause increases the probability of its effect. Of particular salience in such accounts are the values of the probability function of the effect, conditional on the presence ...
Peressini, Anthony F.
core   +1 more source

Bruno de Finetti and imprecision: Imprecise probability does not exist!

open access: yesInternational Journal of Approximate Reasoning, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
VICIG, PAOLO, Teddy Seidenfeld
openaire   +2 more sources

When Rare Is Not Small: Amyotrophic Lateral Sclerosis Initiatives and Therapy

open access: yesExploration, EarlyView.
In the precision‐medicine era, rare diseases must not be sidelined in translational infrastructure. The Mr. Cai Lei—led “Ice‐Breaking Team” turns an amyotrophic lateral sclerosis patient community into a sustainable ecosystem, realigning philanthropy, data, and research and development to reshape rare‐disease pipelines and guide precision therapies ...
Yang Liu   +6 more
wiley   +1 more source

Robust Inference of Trees

open access: yes, 2005
This paper is concerned with the reliable inference of optimal tree-approximations to the dependency structure of an unknown distribution generating data.
C.K. Chow   +21 more
core   +1 more source

Interpreting imprecise probabilities

open access: yesThe Philosophical Quarterly
Abstract It is essential that formal models come with interpretations: accounts of how the models relate to the phenomena. The traditional representation of degrees of belief as mathematical probabilities comes with a clear and simple interpretative story.
openaire   +1 more source

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