This paper describes our sentiment analysis systems which have been built for SemEval2015 Task 10 Subtask B and E. For subtask B, a Logistic Regression classifier has been trained after extracting several groups of features including lexical, syntactic, lexiconbased, Z score and semantic features. A weighting schema has been adapted for positive and negative labels in order to take into account...

Background: Contrary to the myth that suicides increase around Christmas, multiple studies reveal that suicide rates decrease towards Christmas and return back to normal or even peak in the beginning of the new year. We aimed to replicate this effect for Austria. Methods: The analyses were based on the official suicide statistics 2000 – 2013 using Poission regression and Bayesian changepoint an...

There is evidence that ozone may cause asthma. However, the effects of asthma on young children are still unclear. This study explores the relationship of daily peak ozone levels and asthma hospital admission rates at the zip code level in California’s South Coast Air Basin area during a three-year period (1997 to 1999). The Poisson regression model was used to investigate this relationship. Af...

Growth-independent test characters of the generaOperculina, Planoperculina, andPlanosteginawere investigated to determine relations to water depth in form of morphoclines. All characters describing test form – thickness, initial vector of the test spiral that is correlated to proloculus size, and radius expansion rate describing test contour – are correlated. The investigated Operculina and Pla...

This paper describes a machine learning method, called Regression by Selecthtg Best P~’ttllll’es (RSBF). RSBF consists of two phases: The first phase aims to find the predictive power of each feature by constructing simple linear regression lines, one per each continuous feature and number of categories pen each categorical feature. Although the predictive power of a continuous feature is const...

analysis does not test for causal relationships, only whether there is a relationship and, to some extent, the strength of this relationship. Linear regression analysis is used to predict or estimate the value of a normally distributed response variable from the known values of one or more explanatory variables which are not necessarily normally distributed. When the analysis uses a single expl...

Currently, about 50% of patients with metastatic renal cell carcinoma (mRCC) receive a second-line therapy. Therefore, the choice at each subsequent treatment line remains an important issue. In this retrospective study, we sought to identify pretreatment clinical parameters that could predict the likelihood of a patient receiving a second-line therapy. One hundred and sixty-one mRCC patients w...

In large-scale unconstrained optimization algorithms such as limited memory BFGS (LBFGS), a common subproblem is a line search minimizing the loss function along a descent direction. Commonly used line searches iteratively find an approximate solution for which the Wolfe conditions are satisfied, typically requiring multiple function and gradient evaluations per line search, which is expensive ...

the aim of this study was to determine the monthly dtr mass load of amphetamine-type compounds in poland as well as an investigation of cyclical behaviour by using time series analysis and especially trends analysis.amphetamine, methamphetamine and mdma (ecstasy) were detected in wastewater samples collected from the main wastewater treatment plant in the city of poznan using liquid chromatogra...

Model trees are tree-based regression models that associate leaves with linear regression models. A new method for the stepwise induction of model trees (SMOTI) has been developed. Its main characteristic is the construction of trees with two types of nodes: regression nodes, which perform only straight-line regression, and splitting nodes, which partition the feature space. In this way, intern...