in the use of peer group data to assess individual, typical or best practice performance, the effective detection of outliers is critical for achieving useful results. in these ‘‘deterministic’’ frontier models, statistical theory is now mostly available. this paper deals with the statistical pared sample method and its capability of detecting outliers in data envelopment analysis. in the prese...

Ensemble methods using multiple classifiers have proven to be the most successful approach for the task of Native Language Identification (NLI), achieving the current state of the art. However, a systematic examination of ensemble methods for NLI has yet to be conducted. Additionally, deeper ensemble architectures such as classifier stacking have not been closely evaluated. We present a set of ...

This paper describes the systems submitted by GadjahMada team to the Native Language Identification (NLI) Shared Task 2017. Our models used a continuous representation of character n-grams which are learned jointly with feed-forward neural network classifier. Character n-grams have been proved to be effective for stylebased identification tasks including NLI. Results on the test set demonstrate...

We report on our experiments with Ngram and embedding based feature representations for Native Language Identification (NLI) as a part of the NLI Shared Task 2017 (team name: NLI-ISU). Our best performing system on the test set for written essays had a macro F1 of 0.8264 and was based on word uni, bi and trigram features. We explored n-grams covering word, character, POS and word-POS mixed repr...

By presenting emergency management organizations of developed countries as early adopter of RFID in emergency management, this paper aims to minimize the disastrous impacts of emergencies currently faced by mankind; especially in developing countries. We conduct a study in the context of RFID adoption in emergency management and seek to answer the question What are the contributing factors in t...

This paper presents a design of RFID reader antenna, which is equipped on a chipattaching machine producing the RFID tags. Such an antenna is constrained to read exclusively one tag only for the purpose of functional check of the whole tag when it passes the reader antenna, namely, the other neighbour tags on the same rolling band are ignored that time. A wideband microstrip antenna is designed...

Native-language identification is the task of determining a speaker’s native language based only on their speeches in a second language. In this paper we propose the use of the wellknown i-vector representation of the speech signal to detect the native language of an English speaker. The i-vector representation has shown an excellent performance on the quite similar task of distinguishing betwe...

This paper reports our contribution to the 2013 NLI Shared Task. The purpose of the task was to train a machine-learning system to identify the native-language affiliations of 1,100 texts written in English by nonnative speakers as part of a high-stakes test of general academic English proficiency. We trained our system on the new TOEFL11 corpus, which includes 11,000 essays written by nonnativ...