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Showing 9001–9050 of 9169 papers

TitleStatusHype
A Wild Bootstrap for Degenerate Kernel TestsCode0
Multi-Sensor Event Detection using Shape Histograms—0
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning—0
Deep Recurrent Neural Networks for Time Series Prediction—0
One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification—0
Finding Motif Sets in Time Series—0
Identifying Cover Songs Using Information-Theoretic Measures of Similarity—0
Meteorological time series forecasting with pruned multi-layer perceptron and 2-stage Levenberg-Marquardt method—0
Techniques for clustering interaction data as a collection of graphs—0
Early Recognition of Human Activities from First-Person Videos Using Onset Representations—0
An Experimental Evaluation of Nearest Neighbour Time Series Classification—0
Variational Gaussian Process State-Space Models—0
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework—0
Dimensionality reduction for time series data—0
A hybrid neuro--wavelet predictor for QoS control and stability—0
Variational inference of latent state sequences using Recurrent Networks—0
Supervised classification-based stock prediction and portfolio optimization—0
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data—0
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts—0
An Ordered Lasso and Sparse Time-Lagged Regression—0
Effective Bayesian Modeling of Groups of Related Count Time Series—0
Training Deep Fourier Neural Networks To Fit Time-Series Data—0
A consistent deterministic regression tree for non-parametric prediction of time series—0
Spatial Neural Networks and their Functional Samples: Similarities and Differences—0
Meteorological time series forecasting based on MLP modelling using heterogeneous transfer functions—0
Implementing spectral methods for hidden Markov models with real-valued emissionsCode0
Power System Parameters Forecasting Using Hilbert-Huang Transform and Machine Learning—0
Ensemble Committees for Stock Return Classification and Prediction—0
Learning the Conditional Independence Structure of Stationary Time Series: A Multitask Learning Approach—0
Finding middle ground? Multi-objective Natural Language Generation from time-series data—0
Distributed Reconstruction of Nonlinear Networks: An ADMM Approach—0
Spectral Correlation Hub Screening of Multivariate Time Series—0
Sleep Analytics and Online Selective Anomaly Detection—0
Efficient Modeling and Forecasting of the Electricity Spot Price—0
Discriminative Functional Connectivity Measures for Brain Decoding—0
Automatic Construction and Natural-Language Description of Nonparametric Regression ModelsCode0
Human Activity Recognition using Smartphone—0
Kernel Least Mean Square with Adaptive Kernel Size—0
Skill Analysis with Time Series Image Data—0
Alternating direction method of multipliers for penalized zero-variance discriminant analysis—0
On change point detection using the fused lasso method—0
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction—0
An Empirical Evaluation of Similarity Measures for Time Series Classification—0
Highly comparative feature-based time-series classification—0
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression—0
Does Restraining End Effect Matter in EMD-Based Modeling Framework for Time Series Prediction? Some Experimental Evidences—0
A Comparative Study of Reservoir Computing for Temporal Signal Processing—0
Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting—0
Distinguishing noise from chaos: objective versus subjective criteria using Horizontal Visibility Graph—0
Fast nonparametric clustering of structured time-series—0
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