Credit scoring is an important tool in financial institutions, which can be used in credit granting decision. Credit applications are marked by credit scoring models and those with high marks will be treated as “good”, while those with low marks will be regarded as “bad”. As data mining technique develops, automatic credit scoring systems are warmly welcomed for their high efficiency and object...

Scoring short-answer questions has disadvantages that may take long time to grade and may be an issue on consistency in scoring. To alleviate the disadvantages, automated scoring systems are widely used in America or Europe, but, in Korea, there has been researches regarding the automated scoring. In this paper, we propose an automated scoring tool for Korean short-answer questions using a semi...

Molecular docking is an important method for the research of protein-protein interaction and recognition. A protein can be considered as a network when the residues are treated as its nodes. With the contact energy between residues as link weight, a weighted residue network is constructed in this paper. Two weighted parameters (strength and weighted average nearest neighbors' degree) are introd...

In this paper we propose a new classification method for automatic sleep scoring using an artificial neural network based decision tree. It attempts to treat sleep scoring progress as a series of two-class problems and solves them with a decision tree made up of a group of neural network classifiers, each of which uses a special feature set and is aimed at only one specific sleep stage in order...

Correction of a relapsed clubfoot deformity by distraction with an external fixator is a recognized alternative to open surgery. Most published series report a good outcome but none are prospective observational studies using the scoring system of the International Clubfoot Study Group (ICFSG). We present a series of 9 relapsed club feet treated with closed gradual distraction using this scorin...

Bias and heterogeneity in peer assessment can lead to the issue of unfair scoring in the educational field. To deal with this problem, we propose a reference ranking method for an online peer assessment system using HodgeRank. Such a scheme provides instructors with an objective scoring reference based on mathematics.

In this paper, we present a supervised learning approach to training submodular scoring functions for extractive multidocument summarization. By taking a structured prediction approach, we provide a large-margin method that directly optimizes a convex relaxation of the desired performance measure. The learning method applies to all submodular summarization methods, and we demonstrate its effect...

introduction: chronic nasal obstruction due to adenoid hypertrophy is a very common disorder. although the clinical assessment of adenoid hypertrophy is essential, its real value in young children is difficult to evaluate. the purpose of this prospective study was to validate a simple clinical score to predict the severity of adenoid obstruction and to evaluate the relationship between this met...

This paper applies a hybrid classification approach combining rough set and genetic programming (GP) to construct the credit scoring model. Comparing with the previous credit scoring model only based on GP, the hybrid method not only makes an improvement in the average classification accuracy, but also saves the required computational effort.