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Found 2 papers, 1 papers with code
Adaptive Reduced Rank Regression
We study the low rank regression problem $\my = M\mx + \epsilon$, where $\mx$ and $\my$ are $d_1$ and $d_2$ dimensional vectors respectively.
Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization
We revisit the problem of predicting directional movements of stock prices based on news articles: here our algorithm uses daily articles from The Wall Street Journal to predict the closing stock prices on the same day.
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