Simultaneous Kepler/K2 and XMM-Newton observations of superflares in the Pleiades

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MMSE, MMSE, MMSE matrix, mobile broadband wireless communication, Mobile communication, Mobile health, mobile radio, mobile radio, mobile terminal, MobileNET, MobileNET, Modality detection, model assessment, model assessment, Model errors, model inference, model inversion, model switching sequential Monte Carlo algorithm, Model-order selection, modeling class dependencies, modelling, Models, Models, modern communication system, Modulation, Modulation, Modulation, Modulation, Modulation, moment matching learning technique, Monte Carlo, Monte Carlo, Monte Carlo, Monte Carlo (MC) methods, Monte Carlo (MC) methods, Monte Carlo algorithm, Monte Carlo algorithm, Monte Carlo estimation, Monte Carlo integration, Monte Carlo integration, Monte Carlo integration, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte Carlo methods, Monte 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protograph, multihop multibranch networks, multilabel classification, multilabel research, Multilayer networks, multinomial likelihoods, multinomial-logit function, multioutput support vector regression method, multipath, multipath channel, multipath channels, multipath channels, multipath channels, multipath channels, multipath fading channels, multipath fading channels, multipath propagation, multipath propagation, Multiple annotators, multiple antennas, multiple antennas, multiple class variables, multiple destinations, multiple foci, multiple Gaussian filtering, multiple importance sampling, multiple importance sampling estimator, multiple input multiple output, Multiple Input Multiple Output (MIMO), Multiple Input Multiple Output (MIMO), Multiple Input Multiple Output (MIMO), multiple input multiple output Gaussian channel, multiple model interaction, multiple subchannels, Multiple Try Metropolis algorithm, multiple uncoordinated activation foci, multiple-access channels, multiple-antenna block-memoryless Rayleigh-fading, multiple-antenna Rayleigh block-fading channels, multiple-input multiple-output, multiple-input multiple-output (MIMO), multiple-input multiple-output (MIMO) passive detection, multiple-input multiple-output AWGN channel, multiple-input multiple-output channel, multiple-input multiple-output channels, multiple-input multiple-output communication, multiple-input multiple-output communication syste, multiple-input multiple-output system, Multiple-Input Multiple-Output Systems, multiple-input single-output fading channel statis, multiple-input single-output fading channels, multiple-input-multiple-output channel, multiple-input-multiple-output communication chann, multiple-input\textendashmultiple-output (MIMO), multiple-input\textendashmultiple-output (MIMO) systems, Multiplexing, Multiplexing, Multiplexing, multiplexing gain, multirresolution, multisource image classification, multispectral images, multitask learning, multitask learning (MTL), multitask remote sensing data classification, multitemporal classification, multitemporal image classification, multiuser communication, multiuser communication systems, multiuser communications, Multiuser detection, multivariate cyclostationarity detection, Multivariate density modeling, mutiple-input\textendashmultiple-output (MIMO), Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, Mutual information, mutual information concept, Nakagami channels, Nakagami distribution, Nakagami distributions, Natural killer cells, NCAA tournament, NCAA tournament, nearest neighbor decoding, nearest neighbour decoding, nearest-neighbour decoding, negative binomial channel, negative binomial models, negative co-occurrence, negative cooccurrence phenomenon, network analysis, network servers, Network topology, Network topology, Neural networks, Neural Networks (Computer), neurophysiology, neuroscience, neuroscience, Neyman-Pearson criterion, Neyman\textendashPearson hypothesis test, Noise, Noise, Noise measurement, Noise measurement, Noise measurement, Noise reduction, Noise robustness, noise variance, noisy intensity image, noisy-typewriter channel, Non-parametric model, nonasymptotic bounds, noncoherent, noncoherent, noncoherent, noncoherent, noncoherent, noncoherent capacity, noncoherent channel capacity, noncoherent channel model, noncoherent fading relay channel capacity, noncoherent MIMO fading MAC channel, noncoherent multipath fading channel, noncoherent multiple-input single-output, noncoherent setting, Nonconvex optimization, nonconvex optimization problem, nondiagonal precoding matrix, nonGaussian noise model, nonlinear channel, nonlinear channel equalization, nonlinear codes, nonlinear dynamcs, nonlinear dynamic models, nonlinear dynamical systems, Nonlinear dynamics, 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processing receiver, Performance analysis, Performance evaluation, performance evaluation measure, performance-cost ratio, Permission, Personality traits, PF, PGW, Phase imaging, phase inference algorithms, Phase noise, Phase retrieval, Phase retrieval, Phase shift keying, phase-noise processes, pilot data, pilot-aided channel estimation, pilot-aided channel estimation, pilot-assisted channel estimation, pipeline architecture, PLANET SCI; ASTRONOMY, PLANET SCI; ASTRONOMY, planetary systems, planetary systems, planets and satellites: atmospheres, planets and satellites: individual: HD 209458b, point processes, Poisson channel, Poisson channel, Poisson distribution, Poisson factorization, Poisson factorization, Poisson models, polar code detector, polar codes, polar codes, polynomial, population Monte Carlo, population Monte Carlo, population Monte Carlo, population Monte Carlo, population Monte Carlo, population Monte Carlo, population Monte Carlo, population Monte Carlo, population 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optimization, probabilisticmodels, Probability, Probability, Probability, Probability, Probability, Probability, Probability, Probability, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability density function, Probability distribution, Probability distribution, Probability distribution, Probability distribution, Probability distribution, Probability distribution, probability distributions, Probes, Problem Solving, problem transformation, problem transformation methods, product distributions, product distributions, projection matrix, Projection Matrix Optimization, Propagation, propagation environment, proposal densities, Proposal distribution, Proposals, Proposals, Proposals, Proposals, Proposals, 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Rayleigh channels, Rayleigh channels, Rayleigh channels, Rayleigh-fading channel, real-time, receive filter, received signal strength, received signal strength, Received signal strength indicator (RSSI), receiver performance, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receivers, Receiving antennas, Receiving antennas, Receiving antennas, Receiving antennas, recently-popularized task, Recruitment process, recursive algorithm, recursive algorithms, Recycling samples, Redundancy, Redundancy, regression, regression, regression, regression analysis, regression analysis, regression analysis, regular sparse codes, Regularization, regularization schemes, Rejection sampling, Rejection sampling, Rejection sampling, rejection sampling scheme, relational operators, relative entropy, relative entropy derivative, relay channels, relay networks (telecommunication), relay networks (telecommunication), relay-destination link, Relays, Relays, Relays, Relays, Relays, Reliability, Reliability, reliability function, reliability function, Remote sensing, Remote sensing, remote sensing biophysical parameter estimation, remote sensing image, Reproducibility of Results, Resampling, Resource management, Resource management, reversible jump Markov chain Monte Carlo, reversible jump Markov chain Monte Carlo, Risk Factors, RNN, Robots, Robust control, Robust filtering, robust nonparametric statistics, Robust statistics, robustness, robustness, robustness, robustness, ROC Curve, route optimization, routing, RSS data, RSS data, s theorem, saddlepoint approximations, Sale performance prediction, Samejima's model, Sampling, Sampling methods, Sampling methods, Sampling methods, sampling rate recovery, Satellites, SC-LDPC codes, scalar additive white Gaussian noise channel, scalar quantization, scalar valued CS time series, scaling behavior, scaling law, Schizophrenia spectrum disorders, Schizoprenia diagnosis, Search problems, Second-order statistics, Security, Semi-supervised, Semi-supervised projected clustering, sensing matrix optimization, Sensitivity, Sensitivity and Specificity, sensor dependent observations, sensor fusion, sensor fusion, Sensor Network, sensor network learning, sensor networks, sensor networks, sensor networks, sensor networks, sensor orientation invariance, sensor orientation sensitivity, Sensor phenomena and characterization, sensor placement, sensor position sensitivity, sensor selection, Sensor systems, Sensor systems, Sensor systems, sensor-network learning, sensors, sensors, sensors, sensors, sensors, sensors, sensors, Sequential analysis, Sequential analysis, sequential Bayesian approach, sequential hypothesis testing, sequential methods, sequential methods, Sequential model selection, Sequential Monte Carlo, Sequential Monte Carlo, Sequential Monte Carlo, Sequential Monte Carlo, Sequential Monte Carlo, Sequential Monte Carlo, Sequential Monte Carlo (SMC), sequential Monte Carlo (SMC) methods, Sequential Monte Carlo Methods (SMC), sequential Monte Carlo optimization, Sequential Monte-Carlo methods, Sequential optimization, sequential probability ratio test, serial architecture, serial network topology, Severity of Illness Index, Sex Distribution, Shannon lower bound, short packets, short packets, short training sequences, short-packet communications, signal acquisition, signal classification, signal constellations, Signal design, signal detection, signal detection, signal detection, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, Signal processing algorithms, signal processing application, signal processing community, signal processing technique, signal processing tools, signal reconstruction, signal reconstruction, signal sampling, signal sampling, signal sampling, signal sampling, signal sampling, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, Signal to noise ratio, signal transformation, signal-power observations, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratio, signal-to-noise ratios, signaling, similar expression, SIMO Rician channel, simple temporal adaptation, Simulated annealing, single input single output model, single miniature inertial sensor, single-antenna channel capacity, single-input multiple-output, single-output support vector regression method, singular value decomposition, SISO model, Sleep, sleep apnea, Sleep disorders, Slepian-Wolf problem, slice sampling, slice sampling, Sliding mode control, small sample set problem, Small sample support, Smartphone, Smartphone, Smartphone, smelly parallel chains, smelly parallel MCMC chains, smoothing methods, smoothing methods, SNR, SNR, SNR, SNR, SNR, Sociology, Sociology, Sociology, Sociology, Sociology, Sockets, soft LDPC decoding, soft-decoding, Software Design, Software Validation, source coding, source coding, source coding, source enumeration, source enumeration, source messages, Space situational awareness, Spain, Spain, Spain, Spain: epidemiology, Spain: epidemiology, Spanish manufacturing company, sparse coding, sparse component correlation coefficient, sparse learning approach, sparse linear codes, Sparse matrices, Sparse matrices, Sparse matrices, Sparse signals, sparse spectral analysis, sparsity-aware learning, sparsity-aware learning, sparsity-aware learning technique, spatial depth, spatial image features, spatial multiplexing, spatially coupled LDPC codes, spatially coupled LDPC codes, spatially coupled LDPC codes constructed from prot, spatially coupled low-density parity-check codes, spatially-coupled LDPC codes, spatially-coupled LDPC codes, spatially-coupled LDPC codes, spatio-temporal source space, Speaker segmentation, Spectral algorithm, spectral analysis, spectral analysis, spectral analysis, spectral distribution function, spectral domain attention, spectral efficiency, spectral efficiency maximization, spectral learning, spectrometers, Speech recognition, Speech recognition, sphere-packing bound, spherepacking exponent, Spike detection, spike train, spread spectrum communication, spread spectrum communication, spread spectrum communication, spread spectrum communication, spread-spectrum communications, square signal constellations, stability analysis, stability analysis, stability assumptions, stable decoding phase, Standards, Standards, Standards, Standards, Standards, Standards, stars: activity, stars: flare, stars: flare, stars: individual: HD 189733, state space model, State space models, State space models, State space models, State space models, State space models, state-space, State-space methods, State-space methods, State-space methods, state-space model, state-space model, state-space models, state-space models, stationary Gaussian flat-fading channels, statistical analysis, statistical analysis, statistical analysis, statistical analysis, statistical distributions, statistical distributions, statistical distributions, statistical distributions, statistical distributions, statistical distributions, statistical information, statistical testing, statistics, statistics, statistics, statistics, statistics, statistics, statistics, Steady-state, Steady-state, stochastic filtering, stochastic finite state machine, stochastic gradient, stochastic graph, Stochastic kinetic models, Stochastic kinetic models, Stochastic kinetic models, Stochastic optimization, Stochastic optimization, Stochastic optimization, Stochastic optimization, Stochastic optimization, Stochastic processes, Stochastic processes, Stochastic processes, Stochastic processes, stochastic signals, Stoke Theorem, stopping set, Streaming media, strong phase noise, Structure from motion, structured inference, Structured sparsity, structured sparsity regularization approach, subcarrier equalizers, subspace averaging, subspace averaging, successive convex approximation, Suicidal behavior, Suicidal risk, Suicide, Suicide, Suicide, Suicide, Suicide, Suicide attempt, Suicide attempt, Suicide ideation, Suicide ideation, Suicide prediction, super classes, super-class partitions, supervised classication, supervised linear feature extraction, support vector machine, support vector machine (SVM), support vector machine (SVM), Support vector machine classification, Support vector machine classification, Support vector machines, Support vector machines, Support vector machines, Support vector machines, Support vector machines, Support vector machines, Support vector machines, Support vector machines, support vector regression (SVR), SVD, SVM, SVM, Switching observation models, symbol detection, symbol posterior estimates, symmetric convolution-multiplication property, symmetric Kullback-Leibler divergence, symmetric redundancy, Synchronization, system biology, tactical data link, Tanner graph, target detection problem, target distribution, Target localization, target position dependent data, Target tracking, Target tracking, Target tracking, Target tracking, techniques: spectroscopic, Technological innovation, telecommunication channels, telecommunication computing, telecommunication computing, Telecommunication control, telecommunication network management, Telecommunication network reliability, telecommunication network routing, telecommunication network topology, telecommunication signalling, Telecommunications, Telecommunications, Telecommunications, Telecommunications, Telephony, temporal image features, Temporal lobe, TEP algorithm, TEP algorithm, TEP algorithm, TEP decoder, TEP decoder, TEP decoder, TEP decoder, TEP decoder, TEP decoding, Testing, Testing, Testing, Testing, Testing, Testing, Testing, Theory \& Algorithms, Theory \& Algorithms, thermal noise, threshold function, Throughput, Time division multiple access, Time frequency analysis, time intervals, Time of arrival localization, time selective, time selective MIMO channel, time serie processing, Time series, Time series, Time series, Time series analysis, time series forecasting, time slot, time-domain analysis, Time-frequency analysis, Time-frequency analysis, time-frequency-spatial degrees of freedom, Time-of-arrival estimation, Time-of-arrival estimation, time-selective, time-selective channels, time-selective channels, time-selective MIMO channel, time-selective multiple-input-multiple-output chan, time-varying graph, time-varying number, time-varying parameter, Toeplitz matrices, Toeplitz matrix, tracking, tractable running time, Training, Training, Training, Training, Training, Training, Training, Training, Trajectory, Transform coding, transient response, transmission channel, transmit antennas, transmit diversity, transmit filter, transmit signal, transmitter, transmitter, transmitter-to-receiver distance, transmitter-to-receiver distance, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitters, Transmitting antennas, Transmitting antennas, Transmitting antennas, Transmitting antennas, transportation routes, tree expectation propagation, tree graph, tree graph theory, Tree graphs, Tree graphs, tree structure expectation propagation, tree-expectation propagation algorithm, tree-expectation propagation decoder, tree-expectation propagation decoder, tree-like approximation, tree-structure expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation, tree-structured expectation propagation algorithm, tree-structured expectation propagation decoder, trees (mathematics), trees (mathematics), trees (mathematics), trees (mathematics), trees (mathematics), trees (mathematics), triaxial accelerometer, triaxial gyroscope, truncated filters, Tuberculosis, tuberculosis diagnosis, Turbo codes, turbo equalization, two-dimensional sensor networks, ultra wideband communication, Ultra-reliable low-latency communications, Ultra-reliable low-latency communications, ultrareliable communication (URC), ultrawideband communications, unbounded capacity, unbounded channel length, unbounded number, Uncertainty, Uncertainty, uncertainty exchange, Uncertainty realism, underlying regular code, undetermined ill-posed problem, uniform asymptotic convergence, uniform distribution, unipolar electrograms, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Upper bound, Urban mobility, urban monitoring, user detection, Utilization Review, Utilization Review: statistics \& numerical data, value chain, variable length codes, variance reduction, Variance Reduction methods, variational inference, variational inference, variational inference, variational inference, variational inference, ve spectrum, Vector quantization, vector valued random process cyclostationary, vector valued WSS time series, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vectors, Vegetation, Vegetation mapping, very large code length, virtual sensor orientation, virtual sensor orientation, Viterbi algorithm, VLC, waiting-times distributions, waterfall region, waterfilling, Wave propagation, wavelet discrete transforms, wavelets, Wearable devices, Wearable devices, wearable sensors, Wearables, Wearables, weight calculation, Weight measurement, wide sense stationary, Wiener filters, WiFi gateway captures, WiFi management probes, WiFi network, Wijsman theorem, Wijsman{\&}{#}x2019, window-sliding scheme, window-sliding scheme, Wireless 5G systems, wireless channels, Wireless communication, Wireless communication, Wireless communication, Wireless communication, Wireless communication, wireless communications, wireless digital communication, wireless LAN, wireless network, Wireless sensor network, Wireless sensor network, Wireless sensor network, Wireless sensor network, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless Sensor Networks, Wireless sensors networks (WSNs), wireless technology, wireless technology, WSN, WSNs, X-rays: stars, X-rays: stars, Xenon, yo, yo, yo, yo, yo, yoga type meditation, Yttrium, Yttrium, Yttrium, Yttrium, zero dispersion, zero mean Gaussian, zero-error capacity, zero-error codes, α-stable distributions},
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