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Forecasting applications on the stock market attract much interest from researchers in the artificial intelligence field. The problem tackled in this study concerns predicting the direction of change of stock price indices, formulated in terms of binary classification. We use gene expression programming to evolve pools of binary classifiers and investigate several approaches to construct ensembles...
The authors propose a continuous speaker independent speech recognition system based on predictive neural networks for modelizing phonemes, and dynamic time warping for temporal alignment. In this system several modules cooperate, and this allows incorporation of a grammar model and simple correction rules. The neural networks are trained by using a frame discriminative criterion. Tests on the TIMIT...
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