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Online debate forums present a valuable opportunity for the understanding and modeling of dialogue. To understand these debates, a key challenge is inferring the stances of the participants, all of which are interrelated and dependent. While collectively modeling users' stances has been shown to be effective (Walker et al., 2012c; Hasan and Ng, 2013), there(More)
Online debate sites are a large source of informal and opinion-sharing dialogue on current socio-political issues. Inferring users' stance (PRO or CON) towards discussion topics in domains such as politics or news is an important problem, and is of utility to researchers, government organizations , and companies. Predicting users' stance supports(More)
In this paper, a new method for Brain Tumor Classification using Probabilistic Neural Network with Discrete Cosine Transformation is proposed. The conventional method for computerized tomography and magnetic resonance brain images classification and tumor detection is by human inspection. Operator assisted classification methods are impractical for large(More)
MOTIVATION As concurrent use of multiple medications becomes ubiquitous among patients, it is crucial to characterize both adverse and synergistic interactions between drugs. Statistical methods for prediction of putative drug-drug interactions (DDIs) can guide in vitro testing and cut down significant cost and effort. With the abundance of experimental(More)
In this paper, a new Face image classification or Recognition method based on Two Dimensional Discrete Cosine Transform (2D - DCT) with Linear Discriminant Analysis (LDA) and Probabilistic Neural Network (PNN) is proposed. This method consists of three steps, i) Transformation of images from special to frequency domain using Two dimensional discrete cosine(More)
Online usages are growing in popularly. Nowadays Most of the peoples are purchasing the products in online shopping. There are various online websites are available in the Internet. This paper presents the study of Online Based Content Recommender System Based on Consumer Behavior Modeling. Web Surfing has become a popular activity for many consumers who(More)
A neighborhood graph, which represents the instances as ver-tices and their relations as weighted edges, is the basis of many semi-supervised and relational models for node labeling and link prediction. Most methods employ a sequential process to construct the neighborhood graph. This process often consists of generating a candidate graph, pruning the(More)
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