Results 141 to 150 of about 24,633 (240)
Robust Model‐Based Semi‐Supervised Clustering of Incomplete Records
ABSTRACT This paper develops a multivariate t$$ t $$‐mixture model‐based semi‐supervised clustering methodology for datasets with incomplete records. Specifically, we consider the case where not all features are always observed, as well as the case where label information for some of the records is available, where the interest is in grouping all of ...
Joshua D. Berlinski, Ranjan Maitra
wiley +1 more source
Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction
ABSTRACT Risk prediction is a key component of survival analysis across various fields, including medicine, public health, economics, engineering, and others. The fundamental concern of risk prediction lies in the joint distribution of risk factors and the time to event.
Zhiyang Zhou +12 more
wiley +1 more source
Hadamard Products of Schlicht Functions [PDF]
openaire +1 more source
Bayesian Inference via GeTex‐OTS Based Stochastic Synapse for Uncertainty‐Aware Medical Diagnostics
This work reports a GeTex ovonic threshold switch integrated into a compact 1S1T1R stochastic synapse that directly realizes an MC‐Dropconnect Bayesian neural network. Tunable probabilistic switching enables uncertainty‐aware COVID‐19 diagnosis and MNIST recognition while remaining compatible with conventional 1T1R CIM architectures, highlighting a ...
Xinyu Wen +9 more
wiley +1 more source
Abstract Solar superflares of S‐class (>X10 in soft X‐rays) pose extreme space weather hazards, yet their prediction remains a fundamental challenge owing to their rapid and transient natures and the limitations of conventional event‐based forecasts. We introduce for the first time, a probabilistic spatiotemporal framework designed to identify extended
V. M. Velasco Herrera +12 more
wiley +1 more source
Abstract Auroral substorms are a key manifestation of solar‐terrestrial interactions and the release of energy within the Earth's magnetosphere. The expansion phase, which is characterized by rapid changes in auroral morphology and intensity, poses significant space weather risks to satellite operations and communication systems.
Qiuju Yang +3 more
wiley +1 more source
ABSTRACT Fault detection in district heating (DH) substations is critical for energy efficiency and reliability. However, it is challenged by scarce fault labels, low‐frequency data, privacy concerns, and battery‐constrained gateways. We propose a novel hybrid semi‐supervised federated domain adaptation architecture for fault detection in DH.
Jonne van Dreven +5 more
wiley +1 more source
Study analytical function subordination properties by applying a novel linear operator. [PDF]
Majel MS, Hameed MI.
europepmc +1 more source
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
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 +2 more
wiley +1 more source
The MacWilliams Identity for the m-Spotty Weight Enumerators over ZpRk. [PDF]
Wang J, Jiang A, Solé P.
europepmc +1 more source

