Partial label learning aims to induce a multi-class classifier from training examples where each of them is associated with a set of candidate labels, among which only one label is valid. The common discriminative solution to learn from partial label examples assumes one parametric model for each class label, whose predictions are aggregated to optimize specific objectives such as likelihood or...

PURPOSE The aims of this study were to examine differences between older men and women: (a) in the ability of self-rated health to predict mortality, (b) in the effect of different follow-up periods on the self-rated health mortality relationship, and (c) in the relative importance of self-rated health and self-rated change in health in predicting mortality. DESIGN AND METHODS By using data f...

BACKGROUND There is a worldwide obesity epidemic, but lack of a simple method, applicable for research or clinical use, to identify individuals at high risk of weight gain. Therefore, the relationship of self-rated health and 10-year percent weight change was evaluated to determine if self-rated health would predict weight change. METHODS From 1990 to 2008, adults aged 30, 40, 50 and 60 years...

INTRODUCTION Although the relationship between mortality and self-rated health has been demonstrated in sub-Saharan Africa, information in this area is rudimentary. In Senegal, no study has been undertaken comparing self-rated health between urban and rural areas. The objective of this study is therefore to compare self-rated health and its main predictors in Dakar and in a rural isolated area,...

We describe several improvements to Freund and Schapire's AdaBoost boosting algorithm, particularly in a setting in which hypotheses may assign confidences to each of their predictions. We give a simplified analysis of AdaBoost in this setting, and we show how this analysis can be used to find improved parameter settings as well as a refined criterion for training weak hypotheses. We give a spe...

INTRODUCTION Self-rated health is a widely used health outcome measure that strongly correlates with physical and mental health status and predicts mortality. This study identified the set of predictors of fair/poor self-rated health in adult female and male populations of Armenia during a period of long-lasting socio-economic transition to a market economy. METHODS Differences in self-rated ...

Peer-to-Peer (P2P) networks provide a significant solution for file sharing among peers connected to Internet. It is fast and completely decentralised system with robustness. But due to absence of a server documents on a P2P network are not rated which makes it difficult for a peer to obtain precise information in result of a query. In past, some researchers tried to attach ratings to the peers...

CONTEXT Children's exposure to violence in the media is a possible source of public health concern; however, violence in children's animated films has not been quantified. OBJECTIVE To quantify and characterize violence in G-rated animated feature films. DESIGN Violence content was reviewed for all 74 G-rated animated feature films released in theaters between 1937 and 1999, recorded in Eng...

PURPOSE This article investigates the meaning of subjective health assessments for younger respondents by examining the temporal stability of self-rated health (SRH) among adolescents. Two competing understandings of SRH are tested: SRH as a spontaneous health assessment or as an enduring self-concept. METHODS Using data from two waves of the National Longitudinal Study of Adolescent Health (...