This paper investigates a simulation of episodic memory known in the literature as ‘MINERVA 2’. MINERVA 2 is a computational multiple-trace memory model that successfully predicts basic findings from the schema-abstraction literature. This model has been implemented and tested on a simple ASR task using vowel formant data taken from the Peterson & Barney database. Recognition results are compar...

The purpose of this article is to introduce a new scheme for robust multivariate ranking by making use of a not so familiar notion called monotonicity. Under this scheme, as in the case of classical outward ranking, we get an increasing sequence of regions diverging away from a central region (may be a single point) as nucleus. The nuclear region may be deened as the median region.

15. Supplementary Notes Supported by general revenues from the State of Texas 16. Abstract In recent years, there has been a renewed interest in applying statistical ranking criteria to identify sites on a road network, which potentially present high traffic crash risks or are overrepresented in certain type of crashes, for further engineering evaluation and safety improvement. This requires th...

Regarding the fact that getting a suitable combination of the human resources and service stations is one of the important issues in the most service and manufacturing environments, In this paper, we have studied the two models of planning queuing systems and its effect on the cost of the each system by using two fuzzy queuing models of M/M/1 and M/E2/1. In the first section, we have compar...

Recent research efforts have led to the development of a state-of-the-art supervised coreference model, the cluster-ranking model. However, it is not clear whether the features that have been shown to be useful when employed in traditional coreference models will fare similarly when used in combination with this new model. Rather than merely re-evaluate them using the cluster-ranking model, we ...

We develop a multi-period theoretical model to characterize the relationship between a publication that ranks universities and prospective attendees – high school students – who might view the ranking and use it to help decide which university to attend. We assert that published rankings not only offer information about the objective quality of universities, but also have an effect on the prest...

Peterson and Castro [Peterson, M.F. and Castro (2006-this issue). Measurement metrics at aggregate levels of analysis: Implications for organization culture research and the GLOBE project. The Leadership Quarterly, 17, 506 –521.] have presented a critique of the GLOBE societal and organizational culture scales. In this article, we clarify what we believe to be misinterpretations on the part of ...

In this work, we exploit the regression trees-based ranking model, which has been successfully applied in the domain of web-search ranking, to build appearance models for face alignment. The model is an ensemble of regression trees which is learned with gradient boosting. The MCT (Modified Census Transform) as well as its unbinarized version PCT (Pseudo Census Transform) are used as features du...

With the rapid development of Internet and E-commerce, the quantity of product reviews on the web grows very fast, but the review quality is inconsistent. This paper addresses the problem of automatically ranking reviews. A specification for judging the reviews quality is first defined and thus ranking review is formalized as ordinal regression problem. In this paper, we employ Ranking SVM as t...

In this paper, we use an input oriented chance-constrained DEA model withrandom inputs and outputs. A super-eciency model with chance constraintsis used for ranking. However, for convenience in calculations a non-linear deterministicequivalent model is obtained to solve the models. The non-linearmodel is converted into a model with quadratic constraints to solve the nonlineardeterministic model...