It has been shown that some macroeconomic time series, especially those where outliers could be present, can be well modelled using heavy tailed distributions for the noise components. Methods for deciding when and where heavy-tailed models should be preferred are investigated. These investigations primarily focus on automatic methods for model identification and selection. Current methods are ...

We show that transductive (cross-domain) learning is an important consideration in building a general-purpose language identification system, and develop a feature selection method that generalizes across domains. Our results demonstrate that our method provides improvements in transductive transfer learning for language identification. We provide an implementation of the method and show that o...

The BRUniBP team’s submission is presented for the Discriminating between Similar Languages Shared Task 2015. Our method is a two phase classifier that utilizes both character and word-level features. The evaluation shows 100% accuracy on language group identification and 93.66% accuracy on language identification. The main contribution of the paper is a memory-efficient correlation based featu...

We investigate, for the first time, if applying model selection based on automatic language identification (LID) can improve multilingual recognition of emotion in speech. Six emotional speech corpora from three language families (Germanic, Romance, Sino-Tibetan) are evaluated. The emotions are represented by the quadrants in the arousal/valence plane, i. e., positive/negative arousal/valence. ...

identification and selection of entrepreneurial businesses, are key activities to encourage people to do entrepreneuship. the majer goal of the current study is to identify, and prioritize the effective components in selection off superior entrepreneurial businesses.the research method is mixed method . friedman rank test has been used to analyze the data. the findings has revealed that the fol...

The accuracy of an identified model depends on the choice of input signal. Persistency of excitation is a necessary criterion for such signals. In this paper we develop additional criteria for input signal selection, in particular, the input at each time step is chosen to minimize the predicted variance of the system estimate at the next time step. We extend the method to the finitehorizon inpu...

oak trees cover a wide range of forests in iran and most of them are located in kohgiloye and boyer-ahmad province (k.b). the high tannin is one of the anti-nutritional characteristics of acorn for domestic animal. wide range of gut microorganisms could tolerate tannin and reduce it by producing tannase enzyme. this study was carried out to isolate and identify the tannin resistance bacteria (t...

abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...