Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"crowd source"”.
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Feature Factory : a collaborative, crowd-sourced machine learning system
… a machine learning learning system designed to crowd-source feature discovery called Feature Factory. Feature Factory provides a complete web-based platform for users to define, extract, and test features on any given machine learning problem. This project involved designing, implementing, and …
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VirtualHome : simulating household activities via programs
… type of information. Towards this goal, we first crowd-source programs for a variety of activities that happen in people's homes, via a game-like interface used for teaching kids how to code. Using the collected dataset, we show how we can learn to extract programs directly from natural language …
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Crowd-sourced data and its applications for new algorithms in photographic imaging
… In recent years web-based experiments, and the crowd-sourced data they can deliver, have been rising in popularity among the research community for several key reasons – primarily ease of administration and easy access to a large population of diverse participants. However, the level of control …
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Feeling is believing : viewing movies through emotional arcs
… and visual emotional arcs for any video. We then crowd source annotations for 30-second video clips extracted from highs and lows in the arcs in order to assess the micro-level precision of the system. Precision is measured in terms of agreement in polarity between the system's predictions and …
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Unsupervised summarization of public talk radio
… to fully unlocking talk radio as a data source for linguistic, ethnographic, and political analysis. To evaluate model performance, I create a novel spoken opinion summarization dataset consisting of compressed versions of "representative," opinion-containing utterances extracted from a …
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Fast Supervised Annotation and Active Learning with Uncertainty for Cloud Mask Dataset Generation
… tasks make it difficult to both generally crowd source to build such datasets, and to offload this responsibility to the small number of expert annotators that exist. Currently, no general machine learning methods can automatically generate data labels in all regimes. A chief data labeling …
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Measuring Access to Civil Justice: An Empirical Study of Ontario's Reform Initiatives
… notes that people commonly use Reddit to crowd source both legal research and legal advice. It argues that despite legitimate concerns, when assessed against a justice as fairness measurement framework, both of these methods of resolution have a positive impact on improving access to civil …
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The Alydidae (Broad-Headed Bugs) of Virginia and Their Pest Management in Edamame
… in technology, however, it is now possible to crowd-source data from citizen scientists to supplement museum and field collection data. The first portion of this study explores the species of broad-headed bugs present in Virginia, and their distribution throughout the state. This was achieved …