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Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
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<span title="2021-07-24">2021</span>
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<span title="2020-07-13">2020</span>
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The popular Independent Cascade model is used to illustrate our approach. ...
We develop a systematic procedure for learning a mixture of models which further improves the prediction quality. ...
Acknowldegments Authors acknowledge support from the Laboratory Directed Research and Development program of Los Alamos National Laboratory under projects numbers 20200121ER and 20210529CR. ...
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Table of Contents
<span title="">2020</span>
<i title="IEEE">
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
</i>
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enhanced by Transfer Learning
92
Probabilistic Load Forecasting for Day-Ahead Congestion Mitigation
93
A 103
Can the Markovian influence graph simulate cascading resilience from historical outage ...
partially observed meshed distribution grids
114
Probabilistic Analysis of Power Network Susceptibility to GICs
117
Using Probabilistic Forecasts in Stochastic Optimization
119
General Polynomial ...
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The molecular signalling processes underlying olfactory learning and memory formation in honeybees
<span title="2012-01-26">2012</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/6srgwktrhjemjdhrulp4yubli4" style="color: black;">Apidologie</a>
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conserved and well-known pathways are only partially involved. learning / memory / second messenger / translation / transcription ...
Applying innovative techniques to monitor and manipulate signalling processes in vivo during learning led to the identification of dynamic signalling events that contribute to different facets of olfactory ...
Establishing and applying learning paradigms under controlled laboratory conditions was the prerequisite to studying molecular mechanisms of behaviour, such as signalling cascades involved in learning ...
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Stochastic Online Learning with Probabilistic Graph Feedback
<span title="2020-04-03">2020</span>
<i title="Association for the Advancement of Artificial Intelligence (AAAI)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a>
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(b) The cascade case where after playing arm i the learner observes feedback of all arms j in a probabilistic cascade starting from i – for each (i,j) with probability pij, if arm i is played or observed ...
We consider a problem of stochastic online learning with general probabilistic graph feedback, where each directed edge in the feedback graph has probability pij. Two cases are covered. ...
goal is to maximize influence cascade size while using online learning to gradually learn edge probabilities. ...
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Deep Neural Network Approach for Pose, Illumination, and Occlusion Invariant Driver Emotion Detection
<span title="2022-02-18">2022</span>
<i title="MDPI AG">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vyslcn4ljzdq3jes5w7fln3qyu" style="color: black;">International Journal of Environmental Research and Public Health</a>
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To overcome these challenges, two novel approaches using machine learning methods and deep neural networks are proposed to monitor various drivers' expressions in different pose variations, illuminations ...
Monitoring drivers' emotions is the key aspect of designing advanced driver assistance systems (ADAS) in intelligent vehicles. ...
Acknowledgments: The authors acknowledge the University of Bridgeport for providing the necessary resources to carry out this research conducted under the supervision of Khaled Elleithy. ...
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Table of Contents
<span title="2020-10-30">2020</span>
<i title="IEEE">
2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)
</i>
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Multi-terminal
800
VI
HVDC System
Pa24-04
Decomposition Characteristics of SF6/N2 under Partial Discharge of Different Degrees
806
Pa24-05
Research on UHV DC Fault Form and Its Influence ...
Factors Affecting Carbon Emissions in Fujian Province
304
Pa09-06
The Influence of Urban Rail Transit's Stray Current on Power Grid and Its Synchronous
Monitoring
308
Pa10-01
Remote Harmonic ...
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Towards large-scale social networks with online diffusion provenance detection
<span title="">2017</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/blfmvfslmbggxhopuigjdb3jma" style="color: black;">Computer Networks</a>
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Existing work on network diffusion provenance identification focuses on offline learning where data collected from network detectors are static and a snapshot of network is available before learning. ...
Specifically, we first use offline collected network cascades to infer the edge transmission weights, and then use an online l 1 non-convex regression model as the identification model. ...
Given a cascade c t ∈ C, we use f (c t |W) to denote the likelihood function of observing the cascade c t under an unknown transmission matrix W. ...
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Strategy for Electromyography Based Diagnosis of Neuromuscular Diseases for Assistive Rehabilitation
<span title="2013-09-30">2013</span>
<i title="Academy and Industry Research Collaboration Center (AIRCC)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7ym4tvx6lfgsreh5fjf4frrkka" style="color: black;">International Journal on Bioinformatics & Biosciences</a>
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Researchers have monitored electrophysiological activity of muscles using biofeedback obtained from Electromyogram signals collected at appropriate innervation points. ...
The statistical, spectral and cepstral features extracted from EMG have been used to train a Cascade Correlation Neural Network Classifier for disease assessment. ...
are accessible as bioelectric signals under direct volitional control [7] . ...
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DCM Bandits: Learning to Rank with Multiple Clicks
[article]
<span title="2016-05-31">2016</span>
<i >
arXiv
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<span title="2016-02-09">2016</span>
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This work presents the first practical and regret-optimal online algorithm for learning to rank with multiple clicks in a cascade-like click model. ...
We propose a computationally-efficient learning algorithm for solving our problem, dcmKL-UCB; derive gap-dependent upper bounds on its regret under reasonable assumptions; and also prove a matching lower ...
Since the rewards are unobserved, DCM bandits are an instance of partial monitoring (Section 6). ...
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Fusion Learning Model for Mobile Face Safe Detection and Facial Gesture Analysis
<span title="">2019</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a>
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The image of the driver's pose in road traffic monitoring scenes is marked for, which provides additional training data for subsequent joint learning. ...
Secondly, through the cascaded multitask network, the problem of face pose analysis relying on Mobile Face Safe Detection is solved. ...
The training of the cascaded network is also carried out in a cascade manner. ...
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A Lightweight Neural Network for Inferring ECG and Diagnosing Cardiovascular Diseases from PPG
[article]
<span title="2021-01-01">2021</span>
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arXiv
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The prevalence of smart devices has extended cardiac monitoring beyond the hospital setting. ...
We analyze the latent connection between PPG and ECG as well as the CVDs-related features of PPG learned by the neural network, aiming at obtaining clinical insights from data. ...
paired data. 2) We study the interpretability of the deep learning based cardiac monitoring. ...
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Testing an Idealized Dynamic Cascade Model of the Development of Serious Violence in Adolescence
<span title="">2008</span>
<i title="Wiley">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i47drlrrfrbwbmvblg2o62on5y" style="color: black;">Child Development</a>
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Partial least squares (PLS) analyses revealed a cascade of prediction and mediation: An early social context of disadvantage predicts harsh-inconsistent parenting, which predicts social and cognitive deficits ...
, which predicts conduct problem behavior, which predicts elementary school social and academic failure, which predicts parental withdrawal from supervision and monitoring, which predicts deviant peer ...
They partially mediate the impact of poor parental monitoring, and they enhance this risk as well. The reciprocal influences between the child and parent over time are especially noteworthy. ...
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Table of contents
<span title="">2021</span>
<i title="Institute of Electrical and Electronics Engineers (IEEE)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/blxwdtb2nfevpltlbto4vdqbte" style="color: black;">IEEE Sensors Journal</a>
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Baghini 10667 Fiber-Optics Sensors Detection of Partial Discharge in GIS and Transformer Under Impulse Voltage by Fluorescent Optical Fiber Sensor ...................................................... ...
Zheng 10675 Cascaded Fiber-Optic Interferometers for Multi-Perimeter-Zone Intrusion Detection With a Single Fiber Used for Each Defended Zone ........................................................ ...
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Author Index
<span title="">2020</span>
<i title="IEEE">
2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)
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Harish Doddi
113
Learning partially observed meshed distribution grids
Daniel Donaldson
46
Power System Resiliency During Wildfires Under Increasing
Penetration of Electric Vehicles
Jonathan Dumas ...
graph simulate cascading re-
silience from historical outage data? ...
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Stochastic Online Learning with Probabilistic Graph Feedback
[article]
<span title="2019-11-21">2019</span>
<i >
arXiv
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(b) The cascade case where after playing arm i the learner observes feedback of all arms j in a probabilistic cascade starting from i– for each (i,j) with probability p_ij, if arm i is played or observed ...
We consider a problem of stochastic online learning with general probabilistic graph feedback, where each directed edge in the feedback graph has probability p_ij. Two cases are covered. ...
influence cascade size while using online learning to gradually learn edge probabilities. ...
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