Stock Price Prediction
State-of-the-art leaderboards
Greatest papers with code
Context-aware Frame-Semantic Role Labeling
Frame semantic representations have been useful in several applications ranging from text-to-scene generation, to question answering and social network analysis.
QUESTION ANSWERING SCENE GENERATION SEMANTIC ROLE LABELING STOCK PRICE PREDICTION
Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence
• broadinstitute/SignatureAnalyzer-GPU
• 
This paper addresses the estimation of the latent dimensionality in nonnegative matrix factorization (NMF) with the \beta-divergence.
Neural networks for stock price prediction
Due to the extremely volatile nature of financial markets, it is commonly accepted that stock price prediction is a task full of challenge.