Synthetic data
Synthetic data: an endogeneity simulation
... behind synthetic data is the creation of customized data and to feed a particular system of equations with ...the synthetic data and the variation of the sample size allow the ...
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Tracking neutrophils in zebrafish: the use of synthetic data sets
... Figure 2: Synthetic data sets. (a) One slice of the intensity at time 30 and the paths of six individual neutrophils shown as coloured lines. The z-axis indicates time. (b) Five sets of histograms of the ...
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Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data
... (ii) data from two additional languages (Turkish and Russian), given the scarcity of English–Kazakh data, and (iii) synthetic data, both for the source and for the target ...
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Learning Vine Copula Models for Synthetic Data Generation
... on synthetic and real-world datasets, we show that our proposed approach fits the data better in terms of log- ...for synthetic data ...
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Improving American Sign Language Recognition with Synthetic Data
... valid synthetic data, a requirement dictated by the lack of sufficient amounts of large- scale annotated data for ASL to English for testing, training and developing ASLR ...
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Synthetic data A proposed method for applied risk management
... generators for a uniform distribution to help in the creation of synthetic data. This approach is asymptotically efficient, since sampling is taken from an infinite population: “Since the variables were ...
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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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Adapting Neural Machine Translation with Parallel Synthetic Data
... the synthetic data in our ...source synthetic data instead of target synthetic data affects the ...the synthetic data, us- ing it in different ...
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The validity of synthetic clinical data: a validation study of a leading synthetic data generator (Synthea) using clinical quality measures
... Effectiveness Data and Information Set (HEDIS), Hospital Compare and Star Ratings, we found four measures eligible with Synthea’s modules: Colorectal Cancer Screen- ing, Chronic Obstructive Pulmonary Disease ...
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Synthetic data: an endogeneity simulation
... Once the endogeneity problem has been made evident in the equation system, what follows is the specification for synthetic data construction and simulation scenarios. These procedures are presented in the ...
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Training deep learning models to count based on synthetic data
... - data experiments ...the synthetic data has been improved, which is documented using different versions of the synthetic ...of data in training, the improvements to the ...
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Steering Contexts for Autonomous Agents Using Synthetic Data
... with data-driven crowd simulation comes from the global ver- sus local nature of step ...using data-driven techniques to de- cide a single step at a time, we are treating footstep selection as a Markovian ...
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Bilingually constrained Synthetic Data for Implicit Discourse Relation Recognition
... In our experiments, we extract our BiSynData from a combined corpus (FBIS and HongKong Law), with about 2.38 million Chinese-English sen- tence pairs. We generate 30,032 synthetic En- glish instances and the same ...
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Adversarial Adaptation of Synthetic or Stale Data
... usage data prior to deployment simply because it does not ...of synthetic training data that mimics the expected user ...Such synthetic data is crafted using domain-specific knowledge ...
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Nonlinear Processes in Geophysics Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space
... The entire time interval in the feature space has been divided into two parts. The events from the first 2/3 of the interval - approximately 700 events - represent the “teaching set”, the rest - about 300 events – make ...
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Support vector machine for solving small dataset problem
... a data level approach such under sampling technique, over sampling technique and ...project, Synthetic Minority Over-Sampling Technique (SMOTE) is proposed as the data level ...approach. ...
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Quality Estimation for Synthetic Parallel Data Generation
... This paper applies quality estimation (QE) techniques for the generation of synthetic parallel data. Our case study is on the English–Croatian language pair with the Slovene language as pivot. We first ...
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Towards sub-quadratic time and space complexity solutions for the dated tree reconciliation problem
... The theoretical complexity bounds presented above prove that a significant reduction to the Improved Node Mapping algorithm’s asymptotic time and space com- plexity may be achieved through the careful construction of its ...
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Thesis
... However, the real data is very complex, so it is hard to know if the match up is due to signal or noise. To test the cause of the match, I have started locating clusters in the real data (Fig. 9). I plan to ...
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On the Existence of Two Species in Solution, Simple or Simultaneous Equilibria?
... with synthetic data and model and experimental (benzidine, vanillyl ammonium ion, isonicotinic acid) systems and found to be satisfactory, yielding results of noticeable ...
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