Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Multi-Objective Non-parametric Sequential Prediction
Sequential Quantile Prediction of Time Series
Theory and Algorithms for Forecasting Time Series
Bayesian non-parametrics and the probabilistic approach to modelling
Deep Learning in Multiple Multistep Time Series Prediction
Scalable Time-Decaying Adaptive Prediction Algorithm
A Bayesian Nonparametric Approach for Multi-label Classification
A Self-Adaptive Parameter Selection Trajectory Prediction Approach via Hidden Markov Models
R2N2: Residual Recurrent Neural Networks for Multivariate Time Series Forecasting
Time series prediction with a non-causal neural network
hierarchical bayesian nonparametric models with applications ∗ .
Online Learning with Predictable Sequences
A Latent Source Model for Nonparametric Time Series Classification
Clustering-Based Improvement of Nonparametric Functional Time Series Forecasting: Application to Intra-Day Household-Level Load Curves
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
Dynamic Mixture Models for Multiple Time-Series
Dynamic Data-Driven Estimation of Non-Parametric Choice Models
Comparison of neural-network learning algorithms for time-series prediction
Bayesian Nonparametric Kernel-Learning
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Algorithms for Sequential Decision Making
The efficacy of interdental brushes on plaque and parameters of periodontal inflammation: a systematic review.
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
Pegasos: primal estimated sub-gradient solver for SVM
Cyber Physical Systems Security: A Brief Survey
EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation