Synthetic data generation for the Meuse
Quality Estimation for Synthetic Parallel Data Generation
... The results given by the human evaluator confirm what is observed using B LEU and only a few instances of New- stest2013 are better translated using the QE-based approach compared to the full system. Four examples of the ...
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An implementation of synthetic generation of wind data series
... wind data series using Markov ...of data always happens in the historical wind data ...these data to generate wind data series may result in some mistakes when searching related ...
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Learning Vine Copula Models for Synthetic Data Generation
... collecting data is expensive or time consuming. Even when data is already collected, often it cannot be released due to privacy or confi- dentiality ...issues. Synthetic data ...
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Synthetic Data Generation for Realistic Analytics Examples and Testing
... Validation Script Data Generator Expected Cumulative Activity Accounts Raw Daily Page Views Expected Daily Activity Transformation and Summarization Pipeline Cumulative Activity D[r] ...
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Generation of synthetic data based on hidden Markov models
... a data exploration technique for creating synthetic data, a field of Machine learning that does not have as much improvements in the last ...where data is a valuable asset, this process has ...
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A Review Of Synthetic Data Generation Methods For Privacy Preserving Data Publishing
... micro data by the organizations. This micro data contains detailed information of individual entities which may also contain their private and sensitive ...this data needs to be shared among multiple ...
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Big data storage workload characterization, modeling and synthetic generation
... scalable generation of representative ...a synthetic trace generator and validated it using: (1) a Big Data storage (HDFS) workload from Yahoo, (2) a trace from a feature animation company, and (3) a ...
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Data-aware Synthetic Log Generation for Declarative Process Models
... 2 Data-aware Synthetic Log Generation for Declarative Process Models Abstract: In Business Process Management, process mining is a class of techniques for learning pro- cess structure from an ...
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Synthetic Test Data Generation for Hierarchical Graph Clustering Methods
... size. Each generated matrix is different of all others and can be used to test the TRIBE-MCL algorithm. In order to run a set of simple functional tests, we have created test matrices of sizes between 10,000 and 50,000 ...
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Generation of Synthetic Data Sets for Evaluating the Accuracy of Knowledge Discovery Systems
... of data and use data mining techniques to find relationships within disparate data sets that could be used to predict events that occur in the ...from data by finding patterns, threads, and ...
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Prevalence of antibiotic resistant bacteria in the rivers Meuse, Rhine, and New Meuse
... prevalence data on multiresistance are also available (MARAN 2009). In 2009, the prevalence of E. coli resistant to at least one antibiotic was 26% for dairy cattle, 68% for veal calves, 81% for slaughter pigs and ...
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Studying the Accuracy of Demand Generation from Mobile Phone Trajectories with Synthetic Data
... day. Synthetic CDRs spanning several days can be easily obtained by letting the same simulated day restart and continuing to apply the phone usage ...input data, but it is not clear if this translates well ...
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Unresolved Object Detection Using Synthetic Data Generation and Artificial Neural Networks
... REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704–0188 The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, ...
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Studying the accuracy of demand generation from mobile phone trajectories with synthetic data
... 5. Discussion and future work The purpose of this work was to introduce the idea of simulating the acquisition of CDRs, which is a sampling process, as a framework to evaluate methods to create demand models from CDRs ...
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Generation of enhanced synthetic off-line signatures based on real on-line data
... C. Experimental Protocol In order to answer the questions stated at the beginning of this section, two different experiments are carried out: • Experiment 1: Real vs synthetic signatures perfor- mance. The ...
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Generation of Skin Disease into the Synthetic Fingerprints
... Therefore, not all the quality features have the same weight when evaluating the quality of given input image. Thus, in order to verify that the changes made by the Fingerprint disease simulator bring signiĄcant damage ...
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Synthetic Text Generation for Sentiment Analysis
... for data processing ...testing data set of this ...current synthetic data generators do not capture natural language text data suffi- ...text generation, which maintain spe- ...
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Generation of Synthetic Solar Images with GANs
... is normalized in each pixel to unit length in the generator after each convolu- tional layer using a variant of ”local response normalization” [18]. 2.3 Texture generation Older texture generation ...
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Generation of non-symmetric synthetic datasets
... [email protected] October 24, 2011 1 Introduction We may define procedures for generating synthetic databases, for the purpose of testing database management systems. In this report, we will examine two such ...
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Generation of 3D synthetic breast tissue
... c Department of Physics, University of Surrey, Guildford, GU2 7XH, UK ABSTRACT Virtual clinical trials are an emergent approach for the rapid evaluation and comparison of various breast imaging technologies and ...
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