Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Gaussian process for long-term time-series forecasting
Gaussian process for nonstationary time series prediction
Flexible and efficient Gaussian process models for machine learning
Fast hierarchical Gaussian processes
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Efficient computation of Gaussian process regression for large spatial data sets by patching local Gaussian processes
Gaussian Processes for Machine Learning
GPstuff: Bayesian modeling with Gaussian processes
Time Series Forecasting Based on Augmented Long Short-Term Memory
Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
Gaussian Process Regression Stochastic Volatility Model for Financial Time Series
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox
Forecasting Big Time Series: Old and New
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
Fast Bayesian inference for nonconjugate Gaussian process regression
A survey on forecasting of time series data
Warped Gaussian Processes
Stochastic Differential Equation Methods for Spatio-Temporal Gaussian Process Regression
local gaussian process regression for real time online model learning .
SeriesNet:A Generative Time Series Forecasting Model
Duct-to-mucosa pancreaticojejunostomy reduces the risk of pancreatic leakage after pancreatoduodenectomy.
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Meander-line polarizer for arbitrary rotation of linear polarization
Scalable training of Markov logic networks using approximate counting
Using mutual information for selecting features in supervised neural net learning