Titlebook: Artificial Intelligence in Theory and Practice; IFIP 19th World Comp Max Bramer Conference proceedings 2006 IFIP International Federation f

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Radial Basis Functions Versus Geostatistics in Spatial Interpolationsstics is neither the only nor the best spatial interpolation method. Actually there is no “best” method, universally valid. Choosing a particular method implies to make assumptions. The understanding of initial assumption, of the methods used, and the correct interpretation of the interpolation resu

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A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Serie and time series prediction, offering attractive theoretical properties and successful applications in several real world problem domains. Commonly, time series are composed of the combination of regular and irregular patterns such as trends and cycles, seasonal variations, level shifts, outliers or

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Comparison of SVM and Some Older Classification Algorithms in Text Classification Taskshereas some others compared the performance of different algorithms. Recently, following the rising interest towards the Support Vector Machine, various studies showed that SVM outperforms other classification algorithms. So should we just not bother about other classification algorithms and opt alw

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An automatic graph layout procedure to visualize correlated datasualization approach based on a graph layout methodology that uses a Quadratic Assignment Problem (QAP) formulation. The methodology is presented using as testbed a time series dataset of the Standard & Poor’s 100, one the leading stock market indicators in the United States. A weighted graph is cre

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