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The support vector machine (SVM) has been applied to the problem of bankruptcy prediction, and proved to be superior to competing methods such as the neural network, the linear multiple discriminant approaches and logistic regression. However, the conventional SVM employs the structural risk minimization principle, thus empirical risk of misclassification(More)
Measuring the in vivo occupancy of antipsychotic drugs at dopamine D(2) and D(3) receptors separately has been difficult because of the lack of selective radiotracers. The recently developed [(11)C]-(+)-PHNO is D(3)-preferring, allowing estimates of the relative D(2) and D(3) binding of antipsychotic drugs. We used positron emission tomography (PET) imaging(More)