Financial time series forecasting using support vector machines

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Stock market's price movement prediction with LSTM neural networks

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Temporal data classification and forecasting using a memristor-based reservoir computing system

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Using support vector machine with a hybrid feature selection method to the stock trend prediction

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Bridging the divide in financial market forecasting: machine learners vs. financial economists

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Application of wrapper approach and composite classifier to the stock trend prediction

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Automated trading with performance weighted random forests and seasonality

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CLVSA: A Convolutional LSTM Based Variational Sequence-to-Sequence Model with Attention for Predicting Trends of Financial Markets

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Ensemble system based on genetic algorithm for stock market forecasting

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Study on some key problems of support vector machine classifier

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Support Vector Machine and its Application Status

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Seismic Reservoir Parameters Prediction Via Support Vector Machine

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Applications of Support Vector Machines in Classification

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Support Vector Machine Based Nonlinear Systems Identification

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