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Data sets used for phylogenetic hypotheses

An Analysis of Data Sets Used to Train and Validate Cost Prediction Systems

An Analysis of Data Sets Used to Train and Validate Cost Prediction Systems

... using data set B finds prediction sys- tem X is to be preferred to prediction system Y, whilst study C using data set D finds the ...ferent data sets and their influence upon prediction system ...

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Analysing the types of procurement used in the UK: a comparison of two data sets.

Analysing the types of procurement used in the UK: a comparison of two data sets.

... descriptions used for the main variables. It is interesting that EG’s data is collected for potential contractors and suppliers, because the majority of EG’s customers are people for whom the procurement ...

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Phylogenetic Relationships in Tribe Cariceae (Cyperaceae) Based on Nested Analyses of Four Molecular Data Sets

Phylogenetic Relationships in Tribe Cariceae (Cyperaceae) Based on Nested Analyses of Four Molecular Data Sets

... ETS data alone and the combined analysis in which about half of the informative characters come from ...ETS data provide most of the support for the clade uniting ...ETS data. On the other hand, trnL ...

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Phylogenetic Relationships in Tribe Cariceae (Cyperaceae) Based on Nested Analyses of Four Molecular Data Sets

Phylogenetic Relationships in Tribe Cariceae (Cyperaceae) Based on Nested Analyses of Four Molecular Data Sets

... ETS data alone and the combined analysis in which about half of the informative characters come from ...ETS data provide most of the support for the clade uniting ...ETS data. On the other hand, trnL ...

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Data for phylogenetic analysis

Data for phylogenetic analysis

... d) Development: How traits change during the lifetime of an organism e) Behavior: How the organisms tend to behave. Mating behaviors have been particular widely used. f) Secondary biochemistry: Compounds organisms ...

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Data Driven Language Transfer Hypotheses

Data Driven Language Transfer Hypotheses

... be used to correctly label a subset of L2 ...sentences used to create each test case is increased, we see an in- crease in accuracy that supports the argument for sparsity; if the features were simply weak ...

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Testing phylogenetic hypotheses for reconstructing the evolutionary history of Dolichopoda cave crickets in the eastern Mediterranean

Testing phylogenetic hypotheses for reconstructing the evolutionary history of Dolichopoda cave crickets in the eastern Mediterranean

... Maximum parsimony (MP; Farris, 1970) was also performed with paup* (Swofford, 2003). The MP trees were inferred with a heuristic search using stepwise addition of taxa with 10 random replications and ACCTRAN ...

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ISLR: Data for an Introduction to Statistical Learning with Applications in R. We provide the collection of data-sets used in the book 'An

ISLR: Data for an Introduction to Statistical Learning with Applications in R. We provide the collection of data-sets used in the book 'An

... Obviously if no eetenciones has been recorded for the current account, the default value is given as usual by the employee data so that this module rerenciones perfectly compatible retenciomes older ...
Data driven smooth tests for composite hypotheses

Data driven smooth tests for composite hypotheses

... these data driven versions of Neyman’s test compare well for a wide range of alternatives with other, possibly more spe- cialized, commonly used ...The data driven smooth tests are competitive with ...

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Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets

Threshold Selection Study on Fisher Discriminant Analysis Used in Exon Prediction for Unbalanced Data Sets

... is used to separate protein coding region (exon) from non- coding regions ...positive data set and the negative data set are of the same size if the number of the data is big ...the ...

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Two Recommendation System Algorithms Used SVD And Association Rule On Implicit And Explicit Data Sets

Two Recommendation System Algorithms Used SVD And Association Rule On Implicit And Explicit Data Sets

... technique used to increase the accuracy of predicted items will be recommended to users also solve the sparsity problem by using the merging between implicit and explicit ...Our data sets are part of ...

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Integrating Phylogenetic and Population Genetic Analyses of Multiple Loci to Test Species Divergence Hypotheses in Passerina Buntings

Integrating Phylogenetic and Population Genetic Analyses of Multiple Loci to Test Species Divergence Hypotheses in Passerina Buntings

... sequence data from 10 nuclear loci were used to test species divergence hypotheses within Passerina buntings, with special focus on a strongly supported, but controversial, sister relationship ...

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A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets

A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets

... in regulating biological processes. The results associated with Fig. 3b illustrate why our HMTM method is more powerful than the sequential FWER-controlling top-down procedure. PDEs of GO term “GO:0031117”, positive reg- ...

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How well are the All-Wales Core Data Sets used to inform self-evaluation and planning for improvement?

How well are the All-Wales Core Data Sets used to inform self-evaluation and planning for improvement?

... behaviour data is added to the profiles and these are formally reviewed in a meeting with each pupil twice ...of data, which includes, for example, end of key stage 3 levels, Year 10 GCSE module results, ...

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The Allure of Using Big Data Sets: How One District Used Follett Aspen to Tame the Beast.

The Allure of Using Big Data Sets: How One District Used Follett Aspen to Tame the Beast.

... of data was almost suffocating, yet its allure and promise pushed me to try to tame the ...the data I was collecting and recording in my grade ...of data I collected every ...

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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

... is used to measure the accuracy of ...rule sets and measure the classification error ...tent data sets and eight incomplete data sets. The data sets were obtained ...

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Tableau Sample Data Sets

Tableau Sample Data Sets

... tableau sets and set. Thus, data duplication is not really a problem from a data size ...As data set as a prototyping tool. Set a data attribute on ...your data items in. The ...

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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

... frequently used instrument for detecting radioactive contamination; however, at the time this article was published, there were no commercial-grade Geiger counters available on the ...be used near an MR ...

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Closed Sets for Labeled Data

Closed Sets for Labeled Data

... labeled data (learning classification rules, subgroup dis- covery, or contrast set mining) as a rule induction problem, that is, a process of searching a space of concept descriptions (hypotheses in the ...

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