Neural nets have become one of the most important tools using in credit scoring. Credit scoring is regarded as a core appraised tool of commercial banks during the last few decades. The purpose of this paper is to investigate the ability of neural nets, such as probabilistic neural nets and multi-layer feed-forward nets, and conventional techniques such as, discriminant analysis, probit analysi...

For linear discriminant analysis (LDA), the ratio trace and trace ratio are two basic criteria generalized from the classical Fisher criterion function, while the orthogonal and uncorrelated constraints are two common conditions imposed on the optimal linear transformation. The ratio trace criterion with both the orthogonal and uncorrelated constraints have been extensively studied in the liter...

We study to incorporate multiple views of data in a perceptive transfer learning framework and propose a Multi-view Discriminant Transfer (MDT) learning approach for domain adaptation. The main idea is to find the optimal discriminant weight vectors for each view such that the correlation between the two-view projected data is maximized, while both the domain discrepancy and the view disagreeme...

statement of problem: nasopharyngeal obstruction by adenoid enlargement is one of the main causes of mouth breathing. diagnostic indices of nasopharyngeal obstruction by lateral cephalometric radiography are controversial. purpose: the purpose of this study was to diagnose the nasopharyngeal obstruction by means of lateral cephalometric radiography. materials and methods: in this research two g...

We describe extensions to the \best-basis" method to select orthonormal bases suitable for signal classiica-tion and regression problems from a large collection of orthonormal bases. For classiication problems, we select the basis which maximizes relative entropy of time-frequency energy distributions among classes. For regression problems, we select the basis which tries to minimize the regres...

Non-linguistic factors of speech such as vocal tract sizes and recording devices easily change acoustic features of speech. Recently, a new representation of speech with complete cancelation of these changes has been proposed. This representation discards the absolute properties of speech events and captures only the contrasts among them. As a full set of the contrasts in the events can define ...

Liquid State Machines constitute a powerful computational tool for carrying out complex real time computations on continuous input streams. Their performance is based on two properties, approximation and separation. While the former depends on the selection of class functions for the readout maps, the latter needs to be evaluated for a particular liquid architecture. In the current paper we sho...

The recent paper by Tang et al. [1] has proven that Fisher’s criterion function is equal to a novel linear discriminant criterion function. The novel function is then related to spectral decomposition of the Laplacian of a graph. The equivalence between the two functions is based on Theorem 1 given in the beginning of Ref. [1]. Although some mathematical analysis is established in their paper, ...

ÐWe derive a class of computationally inexpensive linear dimension reduction criteria by introducing a weighted variant of the well-known K-class Fisher criterion associated with linear discriminant analysis (LDA). It can be seen that LDA weights contributions of individual class pairs according to the Euclidian distance of the respective class means. We generalize upon LDA by introducing a dif...

In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are computed using LDA. The function of the discriminant vectors is two-fold. First, discriminant vectors are used as a transform matrix, and LDA features are extracted by projecting original intensity images onto discriminant...