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Showing 8201–8225 of 9169 papers

TitleStatusHype
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Construction of neural networks for realization of localized deep learning—0
DeepMoTIon: Learning to Navigate Like Humans—0
Hybrid Forecasting of Chaotic Processes: Using Machine Learning in Conjunction with a Knowledge-Based Model—0
Applicability and interpretation of the deterministic weighted cepstral distanceCode0
Precision and Recall for Time SeriesCode0
Improving Optimization for Models With Continuous Symmetry Breaking—0
Fast Robust Methods for Singular State-Space Models—0
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization—0
M3Fusion: A Deep Learning Architecture for Multi-Scale/Modal/Temporal satellite data fusionCode0
SAFE: Spectral Evolution Analysis Feature Extraction for Non-Stationary Time Series Prediction—0
A bootstrap test to detect prominent Granger-causalities across frequenciesCode0
Synthetic Control Methods and Big Data—0
A High GOPs/Slice Time Series Classifier for Portable and Embedded Biomedical Applications—0
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes—0
Model Agnostic Time Series Analysis via Matrix EstimationCode0
Symmetric thermal optimal path and time-dependent lead-lag relationship: Novel statistical tests and application to UK and US real-estate and monetary policies—0
Time Series Learning using Monotonic Logical Properties—0
Diffusion Maps meet Nyström—0
Structured low-rank matrix completion for forecasting in time series analysis—0
Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification—0
Learning Causally-Generated Stationary Time Series—0
Deep learning algorithm for data-driven simulation of noisy dynamical system—0
Emulating dynamic non-linear simulators using Gaussian processes—0
Nonparametric Bayesian Sparse Graph Linear Dynamical Systems—0
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