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Selecting good stocks for investment is an essential problem in finance. However, accessing stocks is very difficult because many factors may affect the stocks and their relationship is also very complicated to analyze. Applying probabilistic statistical classification model, such as logistic regression, for stock analysis is promising. Logistic regression is an efficient classifier for predicting...
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, transfer learning leverages information from (supervised) learning on related tasks to facilitate the current learning task. Self-taught learning uses information extracted from (unsupervised) learning on related data. In...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.