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Time Series Analysis

826 directly classified papers

Papers per year

Papers

Material Recognition from Heat Transfer given Varying Initial Conditions and Short-Duration Contact RSS 2015
Super-Resolution Off the Grid NIPS 2015
GP Kernels for Cross-Spectrum Analysis NIPS 2015
Learning Theory and Algorithms for Forecasting Non-stationary Time Series NIPS 2015
Analytic Long-Term Forecasting with Periodic Gaussian Processes AISTATS 2014
Covariance shrinkage for autocorrelated data NIPS 2014
Link Prediction in Graphs with Autoregressive Features JMLR 2014
Bayesian Logistic Gaussian Process Models for Dynamic Networks AISTATS 2014
Locally Adaptive Factor Processes for Multivariate Time Series JMLR 2014
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts CVPR 2014
Coresets for k-Segmentation of Streaming Data NIPS 2014
Effective Bayesian Modeling of Groups of Related Count Time Series ICML 2014
Asymptotically consistent estimation of the number of change points in highly dependent time series ICML 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Metric Learning for Temporal Sequence Alignment NIPS 2014
Stochastic variational inference for hidden Markov models NIPS 2014
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014
Online Learning for Time Series Prediction COLT 2013
Tracking Time-varying Graphical Structure NIPS 2013
Gaussian Process Conditional Copulas with Applications to Financial Time Series NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
A Latent Source Model for Nonparametric Time Series Classification NIPS 2013