Results 111 to 120 of about 1,624,324 (312)

Coherent Predictive Inference under Exchangeability with Imprecise Probabilities

Journal of Artificial Intelligence Research, 2015
Coherent reasoning under uncertainty can be represented in a very general manner by coherent sets of desirable gambles. In a context that does not allow for indecision, this leads to an approach that is mathematically equivalent to working with coherent ...
G. Cooman, Jasper De Bock, M. Diniz
semanticscholar   +1 more source

Predicting oxygen thresholds of marine taxa to improve ecological forecasts

Ecography, EarlyView.
Species' ranges are shifting in response to increasing temperature and decreasing oxygen in coastal oceans. Predicting these shifts is limited by information on physiological oxygen thresholds and how they depend on temperature. Here we collate laboratory‐derived measurements of a common oxygen threshold, pcrit, for 148 animal species that span six ...
Timothy E. Essington, James T. Thorson, Curtis Deutsch   +2 more
wiley   +1 more source

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

Epilepsia 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, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

From imprecise probability assessments to conditional probabilities with quasi additive classes of conditioning events [PDF]

, 2012
In this paper, starting from a generalized coherent (i.e. avoiding uniform loss) intervalvalued probability assessment on a finite family of conditional events, we construct conditional probabilities with quasi additive classes of conditioning events ...
Sanfilippo, Giuseppe
core   +1 more source

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

Energy 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, Abraham Dimitri Kapim Kenfack, Nicolas Thantsha, Mandla Msimanga   +3 more
wiley   +1 more source

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

International 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

Exploration, 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, Xue Xia, Yingfang Chen, Haoying Yang, Xiaochen Chen, Lei Cai, Bingyang Shi   +6 more
wiley   +1 more source

A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets

Journal of Forecasting, EarlyView.
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c$$ c $$ latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley   +1 more source

A Multi-Attribute Decision Making Process with Immediate Probabilistic Interactive Averaging Aggregation Operators of T-Spherical Fuzzy Sets and Its Application in the Selection of Solar Cells

Energies, 2019
The objective of this paper is to present new interactive averaging aggregation operators by assigning associate probabilities for T-spherical fuzzy sets (T-SFSs).
Shouzhen Zeng, Harish Garg, Muhammad Munir, Tahir Mahmood, Azmat Hussain   +4 more
doaj   +1 more source

Bayesian probabilistic propagation of imprecise probabilities with large epistemic uncertainty

Mechanical systems and signal processing, 2021
Pengfei Wei, Fuchao Liu, M. Valdebenito, M. Beer   +3 more
semanticscholar   +1 more source