Essential tensor learning for multimodal information-driven stock movement prediction
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Essential tensor learning for multimodal information-driven stock movement prediction
Authors
Keywords
-
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 262, Issue -, Pages 110262
Publisher
Elsevier BV
Online
2023-01-07
DOI
10.1016/j.knosys.2023.110262
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models
- (2020) Jince Li et al. KNOWLEDGE-BASED SYSTEMS
- Temporal Relational Ranking for Stock Prediction
- (2019) Fuli Feng et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Tensor Robust Principal Component Analysis with a New Tensor Nuclear Norm
- (2019) Canyi Lu et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Improving stock market prediction via heterogeneous information fusion
- (2018) Xi Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Aggregating multiple types of complex data in stock market prediction: A model-independent framework
- (2018) Huiwen Wang et al. KNOWLEDGE-BASED SYSTEMS
- Deep learning-based feature engineering for stock price movement prediction
- (2018) Wen Long et al. KNOWLEDGE-BASED SYSTEMS
- A Nonconvex Relaxation Approach to Low-Rank Tensor Completion
- (2018) Xiongjun Zhang IEEE Transactions on Neural Networks and Learning Systems
- Stock market one-day ahead movement prediction using disparate data sources
- (2017) Bin Weng et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Tensor-Based Information Framework for Predicting the Stock Market
- (2016) Qing Li et al. ACM TRANSACTIONS ON INFORMATION SYSTEMS
- Most Tensor Problems Are NP-Hard
- (2013) Christopher J. Hillar et al. JOURNAL OF THE ACM
- Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
- (2013) Misha E. Kilmer et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
- A tensor higher-order singular value decomposition for prestack seismic data noise reduction and interpolation
- (2012) Nadia Kreimer et al. GEOPHYSICS
- Tensor-Train Decomposition
- (2011) I. V. Oseledets SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Third-Order Tensors as Linear Operators on a Space of Matrices
- (2010) Karen Braman LINEAR ALGEBRA AND ITS APPLICATIONS
- Factorization strategies for third-order tensors
- (2010) Misha E. Kilmer et al. LINEAR ALGEBRA AND ITS APPLICATIONS
- A quantitative stock prediction system based on financial news
- (2009) Robert P. Schumaker et al. INFORMATION PROCESSING & MANAGEMENT
- Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time
- (2008) I. V. Oseledets et al. SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started