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There has been no marginal emission information and/or marginal fuel mix data published by the regional transmission organizations (RTOs) or independent system operators (ISOs) in real-time. This paper presents a support vector machine (SVM) based method to estimate and predict hourly marginal emissions and marginal fuel mix in real-time in the PJM market area. Input to our SVM-based model includes...
Many researches have been done for stock market prediction. While there are many free and premium data sources available today, and there many new machine learning algorithms have been proposed, most of these researches do not focus on utilizing these data sources and algorithms. This paper proposes a stock market prediction service framework that allows users to choose different data sources and...
Learning to rank is one of the hottest topics in information retrieval (IR) field. Ranking SVM (RSVM) is a typical method of learning to rank. But this approach is time consuming, which decreases its applicability in real-world IR applications, which involves a large amount of computation, because it requires increasing the complexity from n to O(n2). This paper analyzes the characteristics of the...
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