To achieve adequate description of an understudied tone language, we argue for unsupervised computational modeling of lexical tone, even at the earliest stages of documentation. We apply a technique using eigenvalues and discriminant analysis to differentiate lexical tones on monosyllabic items in Iu Mien. The resulting ‘eigenpitch’ representations can be used to evaluate the differences and si...

In the present work, an online fault prognosis strategy is developed for proactive abnormality management. For online prognosis, the fault degradation process should be well revealed. To well capture the evolution process, the proposed approach includes three components, First, the stability factor is defined to identify those significant faulty variables that show degradation process. Second, ...

We develop a proximity function between an individual and a population from a distance between multivariate observations. We study some properties of this construction and apply it to a distance{based discrimination rule, which contains the classic linear discriminant function as a particular case. Additionally, this rule can be used advantageously for categorical or mixed variables, or in prob...

In this study, by examining the character of the morphometric and meristic in which Cyprinion macrostomus samples obtained from different locality in Tigris, morphometric character which are transformed subject to discriminant analysis and depending on grouping model to number of discriminant functions and according to importance of these totally variance, morphogical variance among populations...

We propose in this paper how Fisher discriminant analysis can be applied for differentiating classes of semiconductor data from different tools or chambers. The tool and chamber matching analysis can be useful not only from a process characterization standpoint, but also for identifying the proper fault detection and classification strategy. If the FDA analysis shows that the chambers or tools ...

For this project, our goal was to implement Maximum Entropy Discrimination (MED) with a linear discrimination function for binary classification purposes. This technique was presented by Jaakola, Meila, and Jebara in “Maximum Entropy Discrimination” (1999). Their paper provides a generalized framework for discrimination that relies on the maximum entropy principle. One of the interesting aspect...

In 2008, financial tsunami started to impair the economic development of many countries, including Taiwan. The prediction of financial crisis turns to be much more important and doubtlessly holds public attention when the world economy goes to depression. This study examined the predictive ability of the four most commonly used financial distress prediction models and thus constructed reliable ...