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Results for the validation dataset

Validation of Hospital Administrative Dataset for adverse event screening

Validation of Hospital Administrative Dataset for adverse event screening

... Although there are some problems with under- or over- reporting, administrative data are shown to be of good quality. Most under- or over-reporting problems are related to the lack of specificity of the ICD-9-CM codes or ...

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Towards SMS Spam Filtering: Results under a New Dataset

Towards SMS Spam Filtering: Results under a New Dataset

... for validation and comparison of different ...such dataset in order to ensure that there are no duplicated messages coming from previously existing datasets, since it may ease the task of learning SMS spam ...

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"MASSIVE" Brain Dataset: Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation

"MASSIVE" Brain Dataset: Multiple Acquisitions for Standardization of Structural Imaging Validation and Evaluation

... Data processing In addition to the raw data, we provide further information on the acquired data, such as SNR estimates and the “true” applied b-matrix for the raw data as derived from the scanner. In addi ti on, we make ...

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Validation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset

Validation of MIMGO: a method to identify differentially expressed GO terms in a microarray dataset

... An example of differentially expressed GO terms in which the average correlation increases upon an increasing q -value threshold of GSEA is shown in Figure 4A. Figure 4A shows detailed validation of results ...

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Default Estimation and Expert Information: All Likely Dataset Analysis and Robust Validation

Default Estimation and Expert Information: All Likely Dataset Analysis and Robust Validation

... I have considered inference about the default probability for a midrange portfolio segment on the basis of data information and expert judgement. Examples focus on the sample size of 500; results are also ...

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PERFORMANCE VALIDATION OF PRIOR QUANTIZATION TECHNIQUES IN OUTLIERS CLASSIFICATION USING WDBC DATASET

PERFORMANCE VALIDATION OF PRIOR QUANTIZATION TECHNIQUES IN OUTLIERS CLASSIFICATION USING WDBC DATASET

... The main objective of the outlier detection process is to isolate the observations that are considerably dissimilar from the remaining data. Due to the dimensionality, detection of the outlier in the high-dimensional ...

9

Validation of a Meteosat Second Generation solar radiation dataset over the northeastern Iberian Peninsula

Validation of a Meteosat Second Generation solar radiation dataset over the northeastern Iberian Peninsula

... Abstract. Solar radiation plays a key role in the Earth’s energy balance and is used as an essential input data in radiation-based evapotranspiration (ET) models. Accurate gridded solar radiation data at high spatial and ...

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A. Dataset and Metrics. B. Baselines Details. C. EpicKitchens-55 Full Results

A. Dataset and Metrics. B. Baselines Details. C. EpicKitchens-55 Full Results

... Figure 7: Different L f eat functions and weights. We found similar or better performance of the simpler L 2 metric over NCE and use it for all experiments in the paper. The graph here shows performance on EK100 ...

5

Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset

Comparison of Statistic Prediction Results in Weka Explorer Interface and Experimenter Environment Interface on Dataset

... Disease Dataset in Weka Explorer interface Naive Bayes algorithm: After running this algorithm by used cross-validation 10 folds, achieved a classification accuracy of ...

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The Purdue Agro-climatic (PAC) dataset for the U.S. Corn Belt: Development and initial results

The Purdue Agro-climatic (PAC) dataset for the U.S. Corn Belt: Development and initial results

... The validation results ...9), results from Bondville site suggest the solar radiation data from PAC are potentially better than the solar radiation values generated by the weather ...presented ...

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Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS fMRI dataset

Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS fMRI dataset

... this validation work of DCM in infants, we provide here some advice for future studies, so that other researchers can take this paper as reference and guidance for the use of DCM with infant fNIRS ...tivity ...

13

Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset

Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset

... this validation work of DCM in infants, we provide here some advice for future studies, so that other researchers can take this paper as reference and guidance for the use of DCM with infant fNIRS ...tivity ...

12

North Atlantic extratropical and subpolar gyre variability during the last 120 years: a gridded dataset of surface temperature, salinity, and density. Part 1: dataset validation and RMS variability

North Atlantic extratropical and subpolar gyre variability during the last 120 years: a gridded dataset of surface temperature, salinity, and density. Part 1: dataset validation and RMS variability

... inconsistency in our criteria in the western part of the Atlantic to allow larger ‘outliers’ (as we are quite confident for these recent years that there are not ‘errors’ in the data). This results in larger error ...

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Validation of the SatGEM Velocity
Dataset using Argo Data

Validation of the SatGEM Velocity Dataset using Argo Data

... 1.3 Methodology While there are a number of independent data sources against which the SatGEM velocity fields can be tested, most were not suitable: current meters provide long term velocity data but only over very ...

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Dataset validation within big data security architecture

Dataset validation within big data security architecture

... of results obtained from analysis of untrusted data? Assurances and trust that data and datasets that inform these decisions have not been tainted by outside ...

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Unit Data Validation Results

Unit Data Validation Results

... DATA VALIDATION RESULTS Effective October 1, 2018, the PCRB will discontinue sending hardcopy criticism ...to validation results (criticism letters) in various formats such as on-screen ...

5

The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements

The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements

... salinity profiles among Argo floats started to be lower after 2007, once the problem was discovered and resolved. In the CORA3 dataset, the percentage of profiles with bad salin- ity data is still high after 2007 ...

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Developing and applying a multi-purpose land cover validation dataset for Africa

Developing and applying a multi-purpose land cover validation dataset for Africa

... (fixed legend) and fractional (vegetation continuous field layers providing estimates of fractions of land 71.. cover types: trees, shrubs, herbaceous vegetation and bare soil) maps (Co[r] ...

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Results of Fitted Neural Network Models on Malaysian Aggregate Dataset

Results of Fitted Neural Network Models on Malaysian Aggregate Dataset

... best results of both fitted BPNN-NAR and BPNN-NARMA on MCCI Aggregate dataset with respect to different error ...the results in terms of the performance of the fitted forecasting models by each set ...

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Search Results Clustering Validation Techniques

Search Results Clustering Validation Techniques

... search results returned by a search engine usually contains millions of results in case of short and ambiguous ...of results is a tedious ...the results to find the relevant ...Search ...

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