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Development of methods and data

Development of Methods and Applications to Clinical Data

Development of Methods and Applications to Clinical Data

... suitable methods for modelling toxicity in this specific situation is ...the development of modelling methods and their applications to clinical ...

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Development and Applications of Machine Learning Methods for Hyperspectral Data

Development and Applications of Machine Learning Methods for Hyperspectral Data

... and data ac- quisition to calibrate the sensor in similar weather conditions as in the ...sensor data of the Hyperspec SWIR line scanner is calibrated and corrected by the software ...precise data ...

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Development of a Liquid Scintillator and of Data Analysis Methods for BOREXINO

Development of a Liquid Scintillator and of Data Analysis Methods for BOREXINO

... All the structure is immersed in 1000 tons of deionized water contained within a carbon steel tank (11 m diameter, 10 m high), whose inside walls are coated with a black epoxy resin in order to minimize light reflections ...

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Development of computational methods for the analysis of metagenome and metatranscriptome data

Development of computational methods for the analysis of metagenome and metatranscriptome data

... The data model for the storage of metagenome reads and their functional and taxonomic results was adapted by Thomas ...The data model for the analysis of metagenome contigs is basically derived from GenDB ...

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Development of computational methods for analysing proteomic data for genome annotation

Development of computational methods for analysing proteomic data for genome annotation

... 4.2 Pipeline design and development sequences generated by Augustus. It should be noted that this approach is a simplification of the potential complexity involved in peptide-spectrum matching. For example, a ...

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Physically inspired methods and development of data-driven predictive systems.

Physically inspired methods and development of data-driven predictive systems.

... the data, in order to circumvent the risk of obtaining the best/worst–case scenario estimate, which as demonstrated in this work can be highly biased and can have a large ...

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Development and evaluation of methods for analysis of naturalistic  driving data from a variety of data sources

Development and evaluation of methods for analysis of naturalistic driving data from a variety of data sources

... Commercial data Commercial NDD is emerging as an important source for understanding why SCEs ...commercial data collection is based on one or both of the following two ...First, data are collected if ...

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Classification methods for the development of genomic signatures from high dimensional data

Classification methods for the development of genomic signatures from high dimensional data

... other methods do not perform as well as the method reported in the van 't Veer et ...the data and they did have a true cross-validation ...of data like the present genomic data to a level ...

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Development of unsupervised feature selection methods for high dimensional biomedical data in regression domain

Development of unsupervised feature selection methods for high dimensional biomedical data in regression domain

... feature selection review as well as a taxonomy of feature selection methods for particularly regression tasks. Two novel unsupervised feature selection frameworks are provided in this study, namely, KBFS and ...

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The Longitudinal Development of Lexical Network Knowledge in L2 Learners: Multiple Methods and Parallel Data

The Longitudinal Development of Lexical Network Knowledge in L2 Learners: Multiple Methods and Parallel Data

... lexical development specifically, I highlight work that has measured the breadth and depth of L2 lexical knowledge and their development over ...the development of L2 lexical knowledge, with ...

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Methods Data sources

Methods Data sources

... the development of universally accepted principles of research ethics that protect the human participant from harm and allow participants voluntary informed consent to the ...

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Data Collection Methods

Data Collection Methods

... Designing Data Collection Tools Which instrument(s) would you use and how would you develop it/them? Please explain to the ...and development of osteoporosis among RA patients on ...

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Methods and Data Analysis

Methods and Data Analysis

... observational data. Such data is intrinsically flawed. All data, whether it results from direct observation of the natural world or from the observation of a carefully controlled experiment, will ...

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Annex A: Data and methods

Annex A: Data and methods

... during development on mild mental retardation, we considered the effect of adult expo- sure to lead on blood pressure, as was done in the CRA 2000 methods (85), updated with the relative risks for increased ...

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New Functional Data Methods for Neuroimaging Data.

New Functional Data Methods for Neuroimaging Data.

... Functional Data With the rapid development of the recording and storage techniques, functional data in the form of multivariate structure becomes more commonly collected ...motivating data set ...

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Mixing Methods for Collaborative Development

Mixing Methods for Collaborative Development

... for development of technologies and management processes that support collaborative ...case data is from a co-development workshop that was organized with a pilot ...

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THE development of methods for automatic detection

THE development of methods for automatic detection

... standardized data sets for comparing different ap- ...common data sets, it is often not clear how the different approaches have been evaluated on these data ...standard data sets for object ...

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The Development of Applied Thermographic Methods

The Development of Applied Thermographic Methods

... the data on failures are loaded to the data ...the data base are thus permanently updated with data from successive ...This data is also used for the spare part storage and gives ...

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Ensemble Data Mining Methods

Ensemble Data Mining Methods

... new data arrives, the ensembles can be updated without reviewing any past ...the data, these online algorithms do not perform as well as their standard ...ensemble methods to other types of ...

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Data analysis: tools and methods

Data analysis: tools and methods

... The development of decision-making systems was supported also with expansion in the hardware and software ...the development. The first one is the data access speed ...relational data model ...

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