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Collecting data is very easy now owing to fast computers and ease of Internet access. It raises the problem of the curse of dimensionality to supervised classification problems. In our previous work, an Intra-Prototype / Inter-Class Separability Ratio (IPICSR) model is proposed to select relevant features for semi-supervised classification problems. In this work, a new margin based feature selection...
Owing to the increase of computer processing power, datasets for pattern classification problems get larger. In semi-supervised learning problems, only a portion of training samples are labeled. This further reduces the effort in data collection. In the light of this situation, the number of features increases easily and the curse of dimensionality becomes a serious problem in semi-supervised pattern...
Shenzhen stock market grows rapidly yet is still a young market when compared with Hong Kong, New York and London markets. Its daily turnover reaches billions US dollars. A good prediction of stock price will bring us substantial pecuniary reward. Technical analysis is a widely adopted financial prediction tool in worldwide stock markets. Candlestick pattern is one of the most efficient methods in...
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