Improving measles incidence inference using age-structured serological data

Serological Epidemiology in Measles **

One usually thinks of measles as a minor childhood illness through which we all must pass and as a nuisance more than a danger. But this was not always the case. In colonial America, two hundred years ago, measles was dreaded like the plague, and today in remote parts of the world, on isolated islands and in the Arctic, it can be a devastating disease. Even here and now in the United States it ...

Structured data and inference in DeepQA

inference in DeepQA A. Kalyanpur B. K. Boguraev S. Patwardhan J. W. Murdock A. Lally C. Welty J. M. Prager B. Coppola A. Fokoue-Nkoutche L. Zhang Y. Pan Z. M. Qiu Although the majority of evidence analysis in DeepQA is focused on unstructured information (e.g., natural-language documents), several components in the DeepQA system use structured data (e.g., databases, knowledge bases, and ontolog...

Improving Data-based Wind Turbine Using Measured Data Foggy Method

The purpose of this paper is to improve the modeling of the data-driven wind turbine system that receives data from noise signals. Most of the data on industrial systems is noisely and data noise is inevitable and natural. The method and idea proposed in this paper, Data Fogging, significantly reduce the impact of noise on data-driven wind turbine system modeling, which is the basis of this met...

Age of Measles immunization in tropics

Improving Entity Retrieval on Structured Data

The increasing amount of data on the Web, in particular of Linked Data, has led to a diverse landscape of datasets, which make entity retrieval a challenging task. Explicit cross-dataset links, for instance to indicate co-references or related entities can significantly improve entity retrieval. However, only a small fraction of entities are interlinked through explicit statements. In this pape...