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Least square support vector machine (LS-SVM) has become an effective tool in nonlinear function estimation. But it is a hard optimization problem to determine kernel parameters for LS-SVM owing to its implicit form and numerous local optima. A reliable and efficient hybrid PSO algorithm named self-adaptive lattice PSO with chaotic operator (short for cPSO)(More)
—Red tides pose a significant environmental and economic threat in the Gulf of Mexico. Timely detection of red tides is important for understanding this phenomenon. In this paper, learning approaches based on k-nearest neighbors, random forests and support vector machines have been evaluated for red tide detection from MODIS satellite images. Detection(More)
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