MOTIVATION Likelihood ratio approximants (LRA) have been widely used for model comparison in statistics. The present study was undertaken in order to explore their utility as a scoring (ranking) function in the classification of protein sequences. RESULTS We used a simple LRA-based on the maximal similarity (or minimal distance) scores of the two top ranking sequence classes. The scoring meth...

Language recognition with support vector machines and shifteddelta cepstral features has been an excellent performer in NISTsponsored language evaluation for many years. A novel improvement of this method has been the introduction of hybrid SVM/GMM systems. These systems use GMM supervectors as an SVM expansion for classification. In prior work, methods for scoring SVM/GMM systems have been int...

Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One criterion for this answer selection is type checking: deciding whether the candidate answer is of the semantic type expected by the question. We define a general strategy for building redundancy-based type checkers, buil...

abstract background: heat is one of the most important of harmful agents in many working environments such as bakeries that can cause prevalence of diseases related to heat and falling of efficiency. aim of this study was exposure evaluation of isfahan bakers to heat stresses in their working environment through evaluation of relationship among wet bulb globe temperature index (wbgt) , oral tem...

Creativity assessment commonly uses open-ended divergent thinking tasks. The typical methods for scoring these tasks (uniqueness scoring and subjective ratings) are time-intensive, however, so it is impractical for researchers to include divergent thinking as an ancillary construct. The present research evaluated snapshot scoring of divergent thinking tasks, in which the set of responses receiv...

Landslide hazard mapping using a geographic information system (GIS) is essential because it helps reduce disaster risks and protects communities from their impacts. In landslide mapping, scoring weighting methods overlay analysis help determine the level of vulnerability. The research data uses several parameters, including soil type, geology, rainfall, land cover, slope. slope was determined ...

In assessing foreign language writing, holistic and analytic scoring can be used to measure a variety of discourse and linguistic features. This study aimed to investigate the possible significant effect of analyt- ic and holistic assessments on improving writing skill among Iranian EFL learners. For this purpose, two groups of intermediate EFL learners, after being homogenized, were divided in...

Scoring systems are classification models that make predictions using a sparse linear combination of variables with integer coefficients. Such systems are frequently used in medicine because they are interpretable; that is, they only require users to add, subtract and multiply a few meaningful numbers in order to make a prediction. See, for instance, these commonly used scoring systems: (Gage e...

Automated scoring systems used for the evaluation of spoken or written responses in language assessments need to balance good empirical performance with the interpretability of the scoring models. We compare several methods of feature selection for such scoring systems and show that the use of shrinkage methods such as Lasso regression makes it possible to rapidly build models that both satisfy...

in this paper data were collected from 120 farmers in north khorassan province for the two periods (2005-2007) in order to survey the role of rain-fed lentil risk profile for designing an insurance model. to evaluate looses of each risk, risk frequency, risk impact criteria’s as well as risk matrix were used. results showed that low risk was the largest risk area. during study period, a decreas...