Titlebook: Innovation Nation; Science and Technolo Carin Holroyd,Ken Coates Book 2007 Carin Holroyd and Ken Coates 2007 aging.economy.innovation.Inter

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Mangle

Carin Holroyd,Ken Coatesonflict between data may fail to choose the right way to fix the detected conflict. Recent efforts turn to use the power of crowd in data repairing, but the crowd power has its own drawbacks such as high human intervention cost and inevitable low efficiency. In this paper, we propose a crowd-aided i

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Carin Holroyd,Ken Coatesvailable for the bags. To solve the instance label ambiguity, instance selection based MIL models were proposed to convert bag learning to traditional vector learning. However, existing MIL instance selection approaches are all based on the instances inside the bags. In this case, at the original in

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use at Yahoo!–the Hadoop map-reduce system and the PNUTS/Sherpa storage system, in the broader context of offline and online data management in a cloud setting..Hadoop is a well known open source implementation of a distributed file system with a map-reduce interface. Yahoo! has been a major contri

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between BC-BSP-based applications and .-based ones are made. The experimental results show that BSP-based applications have higher efficiency than that of .-based applications when the volume of data can be put in the memory during the course of processing; on the contrary the latter are better than

Junction

Carin Holroyd,Ken Coatese user. Some systems allow users to define their own attributes, and to describe their published objects with variable number of attributes. The freedom from a strict syntax of the published data items is very convenient to users. However, it is a challenging task to design efficient and scalable me

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Carin Holroyd,Ken Coatesng CText in EM. A baseline algorithm identifying important phrases with high IDF scores from CTexts and then measuring the similarity between CTexts based on these phrases does not work well since it estimates the similarity in one dimension and neglects that these phrases belong to different topics

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Carin Holroyd,Ken Coateses a smart assembly model (.), which can assemble workers’ complementary answers in the granularity of subtasks without losing the context information. Furthermore, we devise an iterative decision model based on the partially observable Markov decision process, which can decide whether we need to as