S. Seifollahi

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The Naive Bayes classifier is a popular classification technique for data mining and machine learning. It has been shown to be very effective on a variety of data classification problems. However, the strong assumption that all attributes are conditionally independent given the class is often violated in real-world applications. Numerous methods have been(More)
In this paper, a novel learning strategy for radial basis function networks (RBFN) is proposed. By adjusting the parameters of the hidden layer, including the RBF centers and widths, the weights of the output layer are adapted by local optimization methods. A new local optimization algorithm based on a combination of the gradient and Newtonmethods is(More)
Phishing has given attackers power to masquerade as legitimate users of organizations, such as banks, to scam money and private information from victims. Phishing is so widespread that combating the phishing attacks could overwhelm the victim organization. It is important to group the phishing attacks to formulate effective defence mechanism. In this paper,(More)
OBJECTIVE To compare safety and efficacy of pantoprazol , metoclopramide, ondansetron, as compared to placebo, in controlling gastrointestinal (GI) complaints of thyroid cancer patients treated with I-131these patients. DESIGN Four-armed, parallel group, single blind, randomized controlled clinical trial, setting: A university hospital, registration:(More)
BackgroundNoninvasive methods for identification of accessory pathway(s) (AP) location in pre-excitation syndrome have always been desirable. Given the noninvasiveness and other advantages of radionuclide ventriculography (RVG), this study was performed to verify the efficacy of RVG in determining the location of accessory pathway(s) in patients with(More)
In this paper, we propose a hybrid learning algorithm for the single hidden layer feedforward neural networks (SLFNs) for data classification. The proposed hybrid algorithm is a two-phase learning algorithm and is based on the quasisecant and the simulated annealing methods. First, the weights between the hidden layer and the output layer nodes (output(More)
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