difference aspects of multinomial statistical modelings and its classifications has been studied so far. in these type of problems y is the qualitative random variable with t possible states which are considered as classifications. the goal is prediction of y based on a random vector x ? ir^m. many methods for analyzing these problems were considered. one of the modern and general method of cla...

In this paper, we develop a weakly supervised version of logistic regression to help to improve biomedical text classification performance when there is limited annotated data. We learn cascaded latent variable models for the classification tasks. First, with a large number of unlabelled but limited amount of labelled biomedical text, we will bootstrap and semi-automate the annotation task with...

This research was done aimed to investigation the effective factors on production skills of tobacco growers in Mazandaran province. This is an applied study based on descriptive-correlation method. Statistical population of this research consisted of 1500 tobacco growers  of Mazandaran province, and 306 people were selected based on Morgan table. Content validity of the questionnaire was determ...

This research was done aimed to investigation the effective factors on production skills of tobacco growers in Mazandaran province. This is an applied study based on descriptive-correlation method. Statistical population of this research consisted of 1500 tobacco growers  of Mazandaran province, and 306 people were selected based on Morgan table. Content validity of the questionnaire was determ...