Tea Bag Index: a novel approach to collect uniform decomposition data across ecosystems

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

A multiple instance learning approach for sequence data with across bag dependencies

In Multiple Instance Learning (MIL) problem for sequence data, the learning data consist of a set of bags where each bag contains a set of instances/sequences. In many real world applications such as bioinformatics, web mining, and text mining, comparing a random couple of sequences makes no sense. In fact, each instance of each bag may have structural and/or temporal relation with other instan...

The Ten Beads Method: A Novel Way to Collect Quantitative Data in Rural Uganda

ABSTRACT This paper illustrates how locally appropriate methods can be used to collect quantitative data from illiterate respondents. This method uses local beads to represent quantities, which is a novel yet potentially valuable methodological improvement over standard Western survey methods.

A Uniform Approach to Workflow and Data Integration

Data integration in the life sciences requires resolution of conflicts arising from the heterogeneity of data resources and from incompatibilities between the inputs and outputs of services used in the analysis of the resources. This paper presents an approach that addresses these problems in a uniform way. We present results from the application of our approach for the integration of data reso...

Why Collect Retrospective Data ?