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Phd thesis similarity index

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Review the Academic Integrity Policy to make provision for allowable text similarity index for the PG programs. The purpose of the review is to use of appropriate technology as a measure to safeguard the integrity of the postgraduate programs at PNGUoT. In this respect the TLMU can play a vital role. The university has a policy on integrity that defined integrity including plagiarism, its scope and penalty for the breaches.
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The Similarity Report is a flexible document that provides a summary of matching or similar text in submitted work compared against a huge database of Internet sources, journals and previously submitted work, allowing students and instructors to review matches between a submitted work and the database scanned by Turnitin. Therefore, the Turnitin Similarity Report does not define whether or not a student's work is plagiarized. The instructor responsible for the course - as a subject matter expert - has a duty to exercise academic judgement on the work that is submitted to Turnitin for their classes. The percentage that is returned on a student's submission called similarity index or similarity score defines how much of that material matches other material in the database, it is not a marker as to whether a student has or has not plagiarized.
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PLAGIARISM REMOVAL

Practitioners of Machine Learning and related fields commonly seek out embeddings of object col- lections into some Euclidean space. These embeddings are useful for dimensionality reduction, for data visualization, as concrete representations of abstract notions of similarity for similarity search, or as features for some downstream learning task such as web search or sentiment analysis. While most existing techniques rely on preserving some type of exact numeric data feature values, or estimates of various statistics , Anderton proposes to develop and apply large-scale techniques for embedding and similarity search using purely ordinal data e. Recent theoretical advances show that ordinal data does not inherently lose information, in the sense that, when carefully applied to an appropriate dataset, there is an embedding satisfying ordinality which is unique up to similarity transforms scaling, translation, reflection, and rotation. Further, ordinality is often a more natural way to represent the common goal of finding an embedding which preserves some notion of similarity without taking noisy statistical estimates too literally.
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Hyderabad: In a move to improve the doctoral research, the Osmania University OU has restricted the similarity index in the PhD theses to 10 per cent. The thesis copies with more than 10 per cent of the similarly index will be rejected and returned. Such candidates must edit their thesis and ensure the similarity index is within the permissible limit.
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