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Selecting a suitable kernel for relevance vector machine is one of most challenging aspects of successfully using this learning tool. Efficiently automating the search for such a kernel is therefore desirable. This paper proposes a data-driven kernel function construction and optimization method, which combines genetic programming (GP) and relevance vector regression to evolve an optimal or near-optimal...
Methods of the off-line and on-line solid phase extraction (SPE) combined with liquid chromatographic (LC) analysis were compared in respects of separation effect, breakthrough volume, precision and detection limits for polycyclic aromatic hydrocarbons (PAHs). Results showed that the on-line mode is slightly preferred than the off-line one except for the early eluting compounds, naphthalene and biphenyl,...
The metamodeling approach has been an important method to reduce the computational expense of complex system simulation. Metamodeling is the process of building a ldquomodel of a modelrdquo to provide a fast surrogate model for computational expensive simulation code. Main metamodeling techniques include polynomial regression, kriging, radial basis function and support vector regression. In this paper...
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