We consider the problem of classifying completely or partially unlabeled data by using inequalities that contain absolute values of the data. This allows each data point to belong to either one of two classes by entering the inequality with a plus or minus value. By using such absolute value inequalities (AVIs) in linear and nonlinear support vector machines, unlabeled or partially labeled data...

in the present study, air quality analyses for ozone (o3) were conducted in ahvaz, a city in the south of iran. the measurements were taken from 2009 through 2010 in two different locations to prepare average data in the city. relations between the air pollutant and some meteorological parameters were calculated statistically using the daily average data. the wind data (velocity, direction), re...

in this study, the nonlinear optical properties and optical limiting performance of the silver nanoparticles (agnps) in distilled water are investigated. the nonlinear absorption coefficient of the colloid is measured by the z-scan technique. the optical limiting behavior of the agnp suspension is investigated under exposure to nanosecond laser pulses at 532 nm. the results show that nonlinear ...

We present a novel approach for speech-quality prediction based on the observation that perception-relevant properties may cover a wide range of different values without significantly changing perceptual quality. To account for this nonlinear phenomenon, a semi-supervised discretization concept is proposed which is applied to temporal as well as aggregated properties as a preprocessing step pri...

‎The ‎method ‎of ‎quasilinearization ‎is ‎an ‎effective ‎tool ‎to ‎solve nonlinear ‎equations ‎when ‎some ‎conditions‎ on ‎the ‎nonlinear term ‎of ‎the ‎problem ‎are ‎satisfi‎‎ed. ‎W‎hen ‎the ‎conditions ‎hold, ‎applying ‎this ‎techniqu‎e ‎gives ‎two ‎sequences of ‎coupled ‎linear ‎equations‎ and ‎the ‎solutions ‎of ‎th‎ese ‎linear ‎equations ‎are quadratically ‎convergent ‎to ‎the ‎solution ‎o...