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Showing 9076–9100 of 9169 papers

TitleStatusHype
Time Series Topic Modeling and Bursty Topic Detection of Correlated News and Twitter—0
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection—0
Mixed Membership Models for Time Series—0
Temporal Autoencoding Improves Generative Models of Time Series—0
Learning from the past, predicting the statistics for the future, learning an evolving systemCode0
Joint modeling of multiple time series via the beta process with application to motion capture segmentation—0
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting—0
Time series modeling with pruned multi-layer perceptron and 2-stage damped least-squares method—0
Nonlinear Time Series Modeling: A Unified Perspective, Algorithm, and Application—0
Generating Student Feedback from Time-Series Data Using Reinforcement Learning—0
Word Recognition from Continuous Articulatory Movement Time-series Data using Symbolic Representations—0
Time-Series Classification Through Histograms of Symbolic Polynomials—0
Multi-horizon solar radiation forecasting for Mediterranean locations using time series models—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
Gaussian Process Conditional Copulas with Applications to Financial Time Series—0
Deriving land surface phenology indicators from CO2 eddy covariance measurements—0
Sparse Principal Component Analysis for High Dimensional Vector Autoregressive Models—0
Frequency-Domain Stochastic Modeling of Stationary Bivariate or Complex-Valued Signals—0
Sparse Auto-Regressive: Robust Estimation of AR Parameters—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Emotional Expression Classification using Time-Series Kernels—0
Motif Detection Inspired by Immune Memory (JORS)—0
Structural and Functional Discovery in Dynamic Networks with Non-negative Matrix Factorization—0
Dynamic Covariance Models for Multivariate Financial Time Series—0
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming—0
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