Results 71 to 80 of about 10,216,557 (216)

Rating the Significance of Detected Network Events [PDF]

, 2014
Existing anomaly detection systems do not reliably produce accurate severity ratings for detected network events, which results in network operators wasting a large amount of time and effort in investigating false alarms.
Mungro, Meenakshee
core  

Situations and Evidence for Identity Using Dempster-Shafer Theory [PDF]

, 2016
We present a computational framework for identity based on Barwise and Devlin’s situation theory. We present an example with constellations of situations identifying an individual to create what we call id-situations, where id-actions are performed ...
Esterline, Albert, Dominguez, Yenny, Nick, William   +2 more
core   +1 more source

An Improved Evidential-IOWA Sensor Data Fusion Approach in Fault Diagnosis

Sensors, 2017
As an important tool of information fusion, Dempster–Shafer evidence theory is widely applied in handling the uncertain information in fault diagnosis. However, an incorrect result may be obtained if the combined evidence is highly conflicting, which may
Yongchuan Tang, Deyun Zhou, Miaoyan Zhuang, Xueyi Fang, Chunhe Xie   +4 more
doaj   +1 more source

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory [PDF]

, 2006
Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve the classification result. More complex ways of evaluating the hierarchy output that take into account the complete information the hierarchy provides yield improved classification ...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel 0002, Günther Palm   +3 more
openaire   +1 more source

Instruction‐Tuned Large Language Models for Review Helpfulness Prediction: An Efficient Fine‐Tuning Framework for E‐Commerce Review Understanding

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT With the exponential growth of online reviews on e‐commerce platforms, efficiently identifying helpful reviews has become increasingly critical for supporting consumer decision‐making and mitigating information overload. The task of Review Helpfulness Prediction (RHP) aims to address this challenge by automatically filtering high‐quality and ...
Xinzhe Li, Qinglong Li, Jaekyeong Kim
wiley   +1 more source

Confidence Factors, Empiricism and the Dempster-Shafer Theory of Evidence

CoRR, 2013
The issue of confidence factors in Knowledge Based Systems has become increasingly important and Dempster-Shafer (DS) theory has become increasingly popular as a basis for these factors. This paper discusses the need for an empirical lnterpretatlon of any theory of confidence factors applied to Knowledge Based Systems and describes an empirical ...
openaire   +3 more sources

Predictive processing's flirt with transcendental idealism

Noûs, Volume 60, Issue 1, Page 87-109, March 2026.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source

Using Dempster-Shafer Theory in Data Mining

, 2005
The origins of Dempster-Shafer theory (DST) go back to the work by Dempster (1967) who developed a system of upper and lower probabilities. Following this, his student Shafer (1976), in his book “A Mathematical Theory of Evidence” added to Dempster’s ...
Malcolm J. Beynon
core   +1 more source

Tactical evidential reasoning: an application of the Dempster-Shafer theory evidence [PDF]

, 1985
This thesis demonstrates the use of the Dempster-Shafer theory of evidence on the battlefield. The use of the theory is a decision aid or decision support system for the Intelligence Analyst will speed the force Commander's Command and Control cycle ...
Cleckner, William H., IV
core   +2 more sources

Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution

Transactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna, Kristin Stock, Christopher B. Jones   +2 more
wiley   +1 more source