this study evaluates the discriminative power of sequential spectrum analysis of the short-term electrocardiogram (ecg) time series in separating normal and subjects with life threatening arrhythmias like, ventricular tachycardia/fibrillation (vt/vf). the raw ecg time series is transformed into a series of binary symbols and the binary occupancy or relative distribution of mono-sequences (i.e. ...

This paper introduces a general criterion applicable to discriminative training of detection systems, and discusses its particular implementation in GMM-based text-independent speaker verification. Based on an analysis of the detection error trade-off curve of a baseline system, we argue that the new criterion extends several conventional methods such as the maximum posterior training by logist...

A general perspective is provided on both on hypothesis testing and discriminative analyses, by which matrix-variate discriminative analyses are proposed based on the matrix normal distribution, featured by a bi-linear extension of Fisher linear discriminant analysis and a further extension to binary variables. Moreover, a general formulation is proposed for integrative hypothesis testing and f...

This paper applies discriminative multinomial Naïve Bayes with various filtering analysis in order to build a network intrusion detection system. For our experimental analysis, we used the new NSL-KDD dataset, which is considered as a modified dataset for KDDCup 1999 intrusion detection benchmark dataset. We perform 2 class classifications with 10-fold cross validation for building our proposed...

BACKGROUND Recently, the Nijmegen Continuity Questionnaire (NCQ) was developed. It aims to measure continuity of care from the patient perspective across primary and secondary care settings. Initial pilot testing proved promising. AIM To further examine the validity, discriminative ability, and reliability of the NCQ. DESIGN A prospective psychometric instrument validation study in primary...