Results 21 to 30 of about 11,607,572 (305)

Forecast Model of Interannual Increment for Summer Runoff and Its Verification in the Upper Reaches of the Yangtze River

open access: yes应用气象学报, 2022
The upper reaches of the Yangtze River is the hydropower resources and flood control focus for the whole river. Summer is an important period for flood diversion operation and hydropower development.
Pang Yishu   +3 more
doaj   +1 more source

Explicit time embedding based cascade attention network for information popularity prediction [PDF]

open access: yesInformation Processing & Management, 2023
Predicting information cascade popularity is a fundamental problem in social networks. Capturing temporal attributes and cascade role information (e.g., cascade graphs and cascade sequences) is necessary for understanding the information cascade. Current
Xigang Sun   +3 more
semanticscholar   +1 more source

Informational Cascades Elicit Private Information [PDF]

open access: yesInternational Economic Review, 2005
We introduce cheap talk in a dynamic investment model with information externalities. We first show how social learning adversely affects the credibility of cheap talk messages. Next, we show how an informational cascade makes thruthtelling incentive compatible. A separating equilibrium only exists for high surplus projects.
Gossner, Olivier, Melissas, Nicholas
openaire   +7 more sources

Information Bottleneck Theory Based Exploration of Cascade Learning

open access: yesEntropy, 2021
In solving challenging pattern recognition problems, deep neural networks have shown excellent performance by forming powerful mappings between inputs and targets, learning representations (features) and making subsequent predictions.
Xin Du   +2 more
doaj   +1 more source

Information Cascades in the Labor Market [PDF]

open access: yesJournal of Economics, 2001
A model of herding behavior on the labor market is discussed where employers only receive signals with limited precision about the workers' types, but can observe previous employers' decisions. In particular, we study a situation where the employer and the worker can influence the signal probabilities, in the sense that the employer tries to increase ...
Dorothea F. Kübler, Georg Weizsacker
openaire   +3 more sources

Privacy and utility of genetic testing in families with hereditary cancer syndromes living in three countries: the international cascade genetic screening experience

open access: yesFrontiers in Genetics, 2023
Background: Hereditary breast and ovarian cancer and Lynch syndrome are associated with increased lifetime risk for common cancers. Offering cascade genetic testing to cancer-free relatives of individuals with HBOC or LS is a public health intervention ...
Sivia Barnoy   +6 more
doaj   +1 more source

CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks [PDF]

open access: yesKnowledge-Based Systems, 2023
Existing approaches for information cascade prediction fall into three main categories: feature-driven methods, point process-based methods, and deep learning-based methods.
Hongjun Zhu   +5 more
semanticscholar   +1 more source

Herding Behavior and Decision-Making within the Middle – Class Residential Property Investments

open access: yesJurnal Akuntansi dan Keuangan, 2019
The main purpose of this study is to investigate the causality of the behavioral bias ‘herding’ that was traced down to both social and normative influences. An experimental method was developed to test 125 participants studying finance.
Sofian Arif Susanto, Njo Anastasia
doaj   +1 more source

A Bayesian Model of Information Cascades

open access: yes, 2022
13 pages, 37 figures, Paper accepted for presentation A Bayesian model of information cascade in International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems (COINE), co-located with AAMAS ...
Sriashalya Srivathsan   +2 more
openaire   +3 more sources

Bi-Polarization in Cascade Size Distributions

open access: yesIEEE Access, 2021
Predicting the final sizes of information cascades on online social networks (OSNs) has been a difficult problem. This is because OSNs may have complex topological structures and because user decisions may be influenced by several factors such as social ...
Kazumasa Oida
doaj   +1 more source

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