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Data sets for the JSSP experiments

5.1 Experiments Using Medical MRI Data Sets

5.1 Experiments Using Medical MRI Data Sets

... our experiments (approximately 2 days for a data set of 22 volumes), we present preliminary 2D warping ...the data set before and after the warping ...the experiments, in the future, will need ...

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NUMERICAL EXPERIMENTS FOR THE ESTIMATION OF MEAN DENSITIES OF RANDOM SETS

NUMERICAL EXPERIMENTS FOR THE ESTIMATION OF MEAN DENSITIES OF RANDOM SETS

... closed sets in R d , of different Hausdorff ...random sets with Hausdorff dimension n < d, has been the subject of extended mathematical analysis by the ...

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Generating Summaries of Sets of Consumer Products: Learning from Experiments

Generating Summaries of Sets of Consumer Products: Learning from Experiments

... 2 jinja.pocoo.org 4 Evaluation Experiment Our previous work (Kuptavanich, 2018) re- vealed difficulties designing a suitable task that re- flected real consumer behaviours in the task based experiments, but a ...

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Appendix A: Data Framework Data Sets

Appendix A: Data Framework Data Sets

... years. Data linked at any time during the 15-year retention period (generally 3 years active, 12 years archived), to active law enforcement lookout records, will be matched by CBP to enforcement activities, and/or ...

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5-2019 A Bayesian Approach for Extracting Fluorescence Lifetimes from Sparse Data Sets and Its Significance for Imaging Experiments

5-2019 A Bayesian Approach for Extracting Fluorescence Lifetimes from Sparse Data Sets and Its Significance for Imaging Experiments

... Sparse Data Sets and Its Significance for Imaging Experiments Abstract The measurement of fluorescence lifetimes, especially in small sample volumes, presents the dual challenge of probing a small ...

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A Comparison of the Quality of Rule Induction from Inconsistent Data Sets and Incomplete Data Sets

A Comparison of the Quality of Rule Induction from Inconsistent Data Sets and Incomplete Data Sets

... rule sets and measure the classification error rate. Experiments were conducted on eight inconsis- tent data sets and eight incomplete data ...The data sets were obtained ...

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Phenomena and Patterns in Data Sets

Phenomena and Patterns in Data Sets

... a data set are those that we might regard as corresponding to ...that data sets exhibit with zero noise or to all patterns that data sets exhibit are overwhelming: as we have seen, the ...

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Computing with large data sets

Computing with large data sets

... What system memory do we need to cluster 500,000 genetic changes mesured for 20,000 individuals? Assuming there are many fewer classes / clusters / model-components than observations we can use a block aproach , where a ...

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Tableau Sample Data Sets

Tableau Sample Data Sets

... processing data analytics platform and create this process impact to sample data window when you foresee ...extract data sets can tableau sample data types of true or false, there are ...

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Utilities for Partitioned Data Sets

Utilities for Partitioned Data Sets

... Created PDSs should be compact to save on storage costs and conserve disk space, yet flexible enough to permit growth in the data set. For example, if you don't allocate enough directory blocks when you create a ...

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The idea of merging data sets to

The idea of merging data sets to

... are 18F-FDG negative, the availability of diagnostic CT data from combined PET-CT imaging can improve lesion detection and characterization. Lesion detec- tion is enhanced with increased attenuation differences ...

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Closed Sets for Labeled Data

Closed Sets for Labeled Data

... Subgroup discovery is a learning task directed at finding subgroup descriptions that are char- acteristic for examples with a certain property (class) of interest. Special rule learning algorithms for subgroup discovery ...

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MULTIDIMENSIONAL DATA MODELLING: DATA SETS AND TOOLS

MULTIDIMENSIONAL DATA MODELLING: DATA SETS AND TOOLS

... 3.3 Data Mining with SSAS This section discusses some initial work on using SSAS to support the teaching of data mining concepts and describes the way in which it is planned to use SSAS in the next academic ...

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Data Mining in Clinical Data Sets: A Review

Data Mining in Clinical Data Sets: A Review

... a data-mining framework that utilized the concept of clinical pathways to facilitate automatic and systematic construction of an adaptable and extensible detection ...real-world data set gathered from the ...

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Data Sets and Data Quality in Software Engineering

Data Sets and Data Quality in Software Engineering

... Some data sets, most notably the ISBSG project effort and productivity benchmark data set, contain meta data that describe the perceived quality of each case or ...project data to a ...

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Data format for electrophysiological experiments

Data format for electrophysiological experiments

... 2 State of the Art 2.1 EEG EEG is a non-invasive method for measuring and recording electrical brain activity along the scalp. This measurement is based on registering voltage changes from the brain neurons using ...

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DATA CLEANING TECHNIQUES FOR SOFTWARE ENGINEERING DATA SETS

DATA CLEANING TECHNIQUES FOR SOFTWARE ENGINEERING DATA SETS

... project data data sets and 48 simulated project data data ...project data exists, but in this thesis a more practical approach was taken, where the the noise detection ...

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Prepare and Optimize Data Sets for Data Mining Analysis

Prepare and Optimize Data Sets for Data Mining Analysis

... a data set for examination is usually the tedious errand in a data mining task, needing numerous complex SQL queries, joining tables and conglomerating ...ready data sets since they give back ...

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Data Driven Computing with Noisy Material Data Sets

Data Driven Computing with Noisy Material Data Sets

... the data driven solution relative to the reference solution as a function of λ and data set ...increasing data set ...the data driven solution relative to the reference solution as a function ...

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Test Data Sets for Evaluating Data Visualization Techniques

Test Data Sets for Evaluating Data Visualization Techniques

... situations, sets of test patterns (images of real cases) are assembled, and standardized tests are conducted to measure exactly how well the sys- tem performs (see [SP ...her data. We need a standard set of ...

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