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Precisely predicting the stock price movement trend is essential for investors to gain enormous profit. However, due to the complicated financial environment, it is challenging to make an accurate market prediction. Machine learning is an effective tool to make such predictions. To build an effective investment strategy, selections of input features, prediction model with high accuracy, and buy-and-sell...
Rooted in a basic hypothesis that a data matrix is strictly drawn from some independent subspaces, the low-rank representation (LRR) model and its variations have been successfully applied in various image classification tasks. However, this hypothesis is very strict to the LRR model as it cannot always be guaranteed in real images. Moreover, the hypothesis also prevents the sub-dictionaries of different...
An important omission in current development practice for business process (or workflow) management systems is modeling of data & access for a business process, including relationship of the process data and the persistent data in the underlying enterprise database(s). This paper develops and studies a new approach to modeling data for business processes: representing data used by a process as...
Multiple-language phone recognition and n-gram language modeling produce the best performance in formal language identification (LID) evaluations, but this method needs many kinds of data that were phonetically transcribed utterances. This phone-based system isn't easily to apply for dialects or minority languages identification, because it is difficulty to obtain kinds of utterances which were orthographically...
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