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Windows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of data for any duration of time. WAS customers have access to their data from anywhere at any time and only pay for what they use and store. In WAS, data is stored durably using both local and geographic replication to facilitate(More)
The problem of peer prediction is to elicit information from agents in settings without any objective ground truth against which to score reports. Peer prediction mechanisms seek to exploit correlations between signals to align incentives with truthful reports. A long-standing concern has been the possibility of uninformative equilibria. For binary signals,(More)
Surrogate risk minimization is a popular framework for supervised learning; property elicitation is a widely studied area in probability forecasting, machine learning, statistics and economics. In this paper, we connect these two themes by showing that calibrated surrogate losses in supervised learning can essentially be viewed as eliciting or estimating(More)
The copy-paste command is a fundamental and widely used operation in daily computing. It is generally regarded as a simple task but the process can become tedious when frequent window switching is required to copy-paste across different documents. Auto-completion is another popular operation aimed at reducing users' typing effort. It contrasts to copy-paste(More)
We consider the problem of binary class probability estimation (CPE) when one class is rare compared to the other. It is well known that standard algorithms such as logistic regression do not perform well in this setting as they tend to underestimate the probability of the rare class. Common fixes include under-sampling and weight-ing, together with various(More)
The problem of peer prediction is to elicit information from agents in settings without any objective ground truth against which to score reports. Peer prediction mechanisms seek to exploit correlations between signals to align incentives with truthful reports. A long-standing concern has been the possibility of uninformative equilibria. For binary signals,(More)
Manual Data Collection from a student's exam-sheets is always a tedious job which exacts ample amount of time and effort. This paper has suggested a novel approach for developing an automatic, adaptive, fast and reliable system capable of recognizing enrolment number and corresponding marks of student from answer sheet and storing it in the host computer.(More)
BACKGROUND Unsafe injection practices are prevalent worldwide and may result in spread of infection. Thus the present study was planned to observe the injection practices of healthcare professionals (HCP), including aseptic precautions and disposal of used syringes/needle. MATERIALS AND METHODS Injection practices were observed in the outpatients and(More)