Combining datasets using the event ages
Optimally combining Censored and Uncensored Datasets
... efficiently combining two datasets allows stan- dard moment based inference with censored data to go through without imposing parametric, independence, symmetry, quantile, or “special regressor” ...
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Combining DI-ESI–MS and NMR datasets for metabolic profiling
... removal. Using multiblock bilinear factorization algorithms that capitalize on the availability of blocking information, we achieved greater levels of model interpretability with the NMR and MS data than available ...
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Orthology Detection Combining Clustering and Synteny for Very Large Datasets
... by combining clustering, sequence similarity, and ...order using adjacencies (a similarity measure related to the breakpoint distance) was adapted to support multiple linear chromosomes and extended to ...
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Combining Service-Oriented Architecture and Event-Driven Architecture using an Enterprise Service Bus
... methodology for designing and implementing applications and systems in which events transmit between decoupled software components and services. EDA does not replace, but rather, complements the SOA. While SOA is ...
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Harmonizing and Combining Large Datasets – An Application to Firm-Level Patent and Accounting Data
... requires using a combination of the two approaches, as neither one is sufficient on its ...sources using the resulting standardized names: IP-related databases and company business ...
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Validation Methodology for Expert-Annotated Datasets: Event Annotation Case Study
... potentially missing entities, i.e., entities that are not found in the validation list. However, the crowd still performs well when compared to the experts. Even though the overall F1-score slightly dropped, the total ...
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Predictive Complex Event Processing: A conceptual framework for combining Complex Event Processing and Predictive Analytics
... complex event data can make predictions about some attributes of the monitored system based on the pre- viously monitored ...(training) using the transformed data; (4) report predictions using the ...
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Combining Eye- and Head-Tracking Signals for Improved Event Detection
... Optical Head-Tracking Systems Similarly to magnetic tracking systems, optical tracking systems also consist of a source and a motion-tracking sensor, but apply laser-range measurement techniques instead of using ...
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A study of geovisual analytics for exploring event anomalies over multiple geospatial datasets
... of event anomalies in multiple data sets was not addressed in any of the previous ...of using the visual variable for representing two different types of data and links between ...
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Combining capture recapture data and known ages allows estimation of age dependent survival rates
... dom beta‐distributed K i parameters. For most fish, there are too few capture occasions to provide an estimate of K i , meaning that the growth parameter for these individuals is drawn toward the mean. With known‐age ...
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A pipeline combining multiple strategies for prioritizing heterozygous variants for the identification of candidate genes in exome datasets
... diseases using exome-sequencing data remains a difficult task in small ...variants using exome-sequencing datasets in familial Meniere disease: an in-house Pathogenic Variant (PAVAR) score, the ...
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Adverse Drug Event prediction combining shallow analysis and machine learning
... We cope with real discharge EHRs written by around 400 different doctors. These records are not written in a template, that is, the EHRs do not follow a pre-determined structure, and this, by it- self entails a ...
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Remote Sensing Procedures to Update Forested Geospatial Datasets after a Landscape Altering Event
... geospatial datasets by indicating and classifying long term change resulting from a fire is the objective of this research, using Landsat TM imagery a year after the fire event was ...
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A nonparametric statistical technique for combining global precipitation datasets: development and hydrological evaluation over the Iberian Peninsula
... precipitation datasets established by these studies, we argue that, to mit- igate the errors and uncertainties, one should combine the different precipitation datasets, taking into account the differ- ent ...
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THIS paper investigates the problem of visualizing multivariate. Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
... Attribute values encoded in an element are used to vary the appearance of its pexel. Texture and color patterns that form when the pexels are displayed can be used to rapidly and accurately explore the dataset. Our ...
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Combining peak- and chromatogram-based retention time alignment algorithms for multiple chromatography-mass spectrometry datasets
... However, using many mass traces increases the computational demand, as well as the amount of data in need of processing, and may also increase the tendency of aligning noise ...
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Combining two national‐scale datasets to map soil properties, the case of available magnesium in England and Wales
... The cokriging procedure then allowed us to make predictions of available Mg, treating the RSSS data as the primary variable, and using the NSI data to improve predictions. The cross-validation showed that the ...
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Towards SoMEST Combining Social Media Monitoring with Event Extraction and Timeline Analysis
... and event extraction In order to implement and improve BEECON, we have conducted two development and evalua- tion iterations using data sets consisting of 250 (test set A) and 550 sentences (test set ...the ...
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GPLSIUA: Combining Temporal Information and Topic Modeling for Cross Document Event Ordering
... • The LDA Topic Modeling algorithm, using MALLET (McCallum, 2002). 4.1 Target Entity Filtering If the target entity filtering is to be performed then it is first necessary to resolve the named entity recog- nition ...
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Clustering of huge datasets using Machine Intelligence Techniques
... medical datasets available in ...take datasets from mobile data operators and perform ...for combining datasets taken from various sources ...genome datasets, datasets spread ...
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