Learning from data streams is a well researched task both in theory and practice. As remarked by Clarkson, Hazan and Woodru [12], many classi cation problems cannot be very well solved in a streaming setting. For previous model assumptions, there exist simple, yet highly arti cial lower bounds prohibiting space e cient onepass algorithms. At the same time, several classi cation algorithms are o...

This article proposes a method for multiclass classification problems using ensembles of multinomial logistic regression models. A multinomial logit model is used as a base classifier in ensembles from random partitions of predictors. The multinomial logit model can be applied to each mutually exclusive subset of the feature space without variable selection. By combining multiple models the pro...

In binary classification problems it is common for the two classes to be imbalanced: one case is very rare compared to the other. In this paper we consider the infinitely imbalanced case where one class has a finite sample size and the other class’s sample size grows without bound. For logistic regression, the infinitely imbalanced case often has a useful solution. Under mild conditions, the in...

In this report, several experiments have been conducted on a spam data set with Logistic Regression based on Gradient Descent approach. First, the overfitting effect is shown with basic settings (vanilla version). Then Stochastic Gradient Descent and 2-Norm Regularization techniques are both implemented with demonstration of the benefits of these two methods in preventing overfitting. Besides, ...

We introduce Graph-Sparse Logistic Regression, a new algorithm for classification for the case in which the support should be sparse but connected on a graph. We validate this algorithm against synthetic data and benchmark it against L1-regularized Logistic Regression. We then explore our technique in the bioinformatics context of proteomics data on the interactome graph. We make all our experi...

The search for an adequate avalanche RPC working model evidenced that the simple exponential growth can describe the electron multiplication phenomena in the gas with acceptable accuracy until the external electric field is not perturbed by the growing avalanche. We present here a model in which the saturated growth induced by the space charge effects is explained in a natural way by a constant...

background and aims: diabetes type ii (non-insulin dependent) which is one of the most prevalent diabetes types in the world emerges in people with the age of above 55 and genetic and environmental factors interfere in this disease. the aim of this study was to determine the factors affecting diabetes type ii with generalized mixed linear model. methods: population of this study included 2820 p...

conclusions the conjoint analysis results show that gps concerned about various factors of family physician contracts. these results can be helpful for policy-makers as they complete the process of creating family physician plans, which can help increase the motivation of gps to participate in the plan. results the results show that “quotas for admission to specialized courses” is the strongest...

background: venous diseases including varicose veins and chronic venous insufficiency are one of the most important pathogenic factors worldwide. high prevalence of varicose veins and its complications is an emerging problem in the twenty-first century. this study aimed to determine the prevalence and associated risk factors of varicose veins in female hairdressers in shahroud, north of iran in...