Results 31 to 40 of about 1,100,569 (292)
Differential Privacy for Deep and Federated Learning: A Survey
IEEE Access, 2022 Users’ privacy is vulnerable at all stages of the deep learning process. Sensitive information of users may be disclosed during data collection, during training, or even after releasing the trained learning model.
Ahmed El Ouadrhiri, Ahmed Abdelhadi
doaj +1 more source
Ensemble probability distribution for novelty detection
MATEC Web of Conferences, 2018 This paper explores a new ensemble approach called Ensemble Probability Distribution Novelty Detection (EPDND) for novelty detection. The proposed ensemble approach provides a metric to characterize different classes. Experimental results on 4 real-world
Qiao Xiaoshuang +3 more
doaj +1 more source
Review on Statistical Modeling of Travel Time Variability for Road-Based Public Transport
Frontiers in Built Environment, 2020 Accurately modeling the travel time of road-based public transport can help directly improve current passenger service and operating efficiency. Moreover, it paves the way for control of future high technology automated vehicles, which will share the ...
Beda Büchel, Francesco Corman
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Journal of Asian Architecture and Building Engineering, 2022 In order to determine the external dimensions of passenger car, to meet the current parking needs when designing a mechanical parking garage. In this study, 7193 groups of external dimensions and sales volume data of passenger car in the Chinese market ...
Jingshu Zhang +4 more
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, 2023 This paper investigates the delay-probability-distribution-dependent stability problem of uncertain stochastic genetic regulatory networks (SGRNs) with time-varying delays.
S Lakshmanan (13601575) +2 more
core
On the probability distributions of ellipticity [PDF]
Monthly Notices of the Royal Astronomical Society, 2014 24 pages, 18 figures, 2 Tables.
Viola, M., Kitching, T. D., Joachimi, B.
openaire +2 more sources
Prior distribution elicitation
, 2008 An overview of key issues associated with the elicitation of a prior probability distribution is provided. The nature of subjective probability is discussed, and the main causes of biased assessments are identified.
Lesley Walls +8 more
core +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
Flows of Substances in Networks and Network Channels: Selected Results and Applications
Entropy, 2022 This review paper is devoted to a brief overview of results and models concerning flows in networks and channels of networks. First of all, we conduct a survey of the literature in several areas of research connected to these flows.
Zlatinka I. Dimitrova
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