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monotonic mapping]] between the values of equivalent latitude and This method generates a mapping that is as continuous as the data allows ...

...''' is a measure of an agreement between two observers used in classifying data. It was created by Andres & Marzo in 2004.<ref>Andrés, A Martín; Marzo, P. ...ly if the values are asymmetrically distributed. It also requires that the data be independent. The delta statistic may be of use when faced with the pote ...

...arl W. |url=https://www.worldcat.org/title/669122118 |title=A guide to QTL mapping with R/qtl |last2=Sen |first2=Saunak |date=2009 |publisher=Springer |isbn=9 ...978-0-387-20334-8 |location=New York |pages=65 |oclc=141385359}}</ref> Few mapping functions are used in practice other than Haldane and Kosambi.<ref name=":1 ...

...}}</ref> Tensor glyphs are a particular case of multivariate data [[Glyph (data visualization)|glyphs]]. ...

...e methodology of denatration papping|'''Modern application of denaturation mapping''': DNA is stained with a dye(green) that dissociates from single stranded ...erup N; Tegenfeldt J O; Flyvbjerg H. (2010). "Single-molecule denaturation mapping of DNA in nanofluidic channels". PNAS. doi: 10.1073</ref> ...

.... B. M. |author3=Brus, D. J. |author4= Stoorvogel, J. J. |title=Pedometric mapping of soil organic matter using a soil map with quantified uncertainty|journal ...ional framework to produce more accurate prediction models. For example, [[data assimilation]] techniques, such as the space-time [[Kalman filter]], can be ...

...>{{cite journal|author=Harer, J. L.|title=Stability of the homology of the mapping class groups of orientable surfaces|journal=Annals of Mathematics|volume=12 ...theorem]] relates the homology of the infinite symmetric group agrees with mapping spaces of spheres. This can also be stated as a relation between the [[plus ...

...ed using more than one dimension. In m-D digital signal processing, useful data is sampled in more than one dimension. Examples of this are [[image process ...ese vectors can be single dimensional or multidimensional depending on the data and the application.<ref name="mer83" /> ...

{{Short description|Data structure for anagram solving}} ...|volume=17|issue=1 |pages=2012 |doi=10.1145/2133803.2133804}}</ref> is a [[data structure]] designed to solve [[anagram]]s. Solving an anagram is the probl ...

...but with the additional parameter of ''data'', representing the amount of data available to the attacker. An attacker balances or reduces one or two of th .../math> for <math>1 \leq T \leq D</math> where <math>D</math> is the output data available to the cryptanalyst at real time.<ref name="babbage">Babbage, S. ...

...<math>y_j\,\!</math>. A set of preference information is used as training data in the model. The task of this model is to find a preference ranking among ...d with a label <math>y_l\,\!</math>. Giving a set of instances as training data, the goal of this task is to find the ranking order for a new set of instan ...

...ions of Computer Science. p.390.</ref> who describe it as an opportunistic data structure as it allows compression of the input text while still permitting ...b-linear time|sublinear complexity]] with respect to the size of the input data. ...

.... For vector spaces ''T'', ''U'' ∈ '''Vect''', the functor ''F'' induces a mapping ...hness of the functor is the condition required to ensure that the patching data for the bundle are smooth as mappings of manifolds.<ref name=KM290 /> For ...

...:2d block-mapping.png|thumb|300x300px|partition of a matrix with 2-D block mapping]] ...specific part of the matrix. A common way to achieve this is '''2-D Block Mapping'''. Here the matrix is partitioned into squares of the same size and each s ...

...ume. Brain atlases are contiguous, comprehensive results of visual [[brain mapping]] and may include anatomical, genetic or functional features.<ref>{{Cite jo ...of the mouse]],<ref>{{cite web|url=http://mouse.brain-map.org/ |title=ISH Data :: Allen Brain Atlas: Mouse Brain |publisher=Mouse.brain-map.org |date= |ac ...

| genre = [[Data compression]] '''liblzg''' is a compression library for performing [[lossless data compression]]. It implements an algorithm that is a variation of the [[LZ77 ...

'''Convergent cross mapping''' ('''CCM''') is a [[statistical test]] for a [[Causality|cause-and-effect Convergent Cross Mapping (CCM) leverages a corollary to the Generalized Takens Theorem<ref>{{cite jo ...

...iel A Keim et IEEE Computer Society, "Information visualization and visual data mining," IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 8 (2002): ...ructured data are processed with [[text-mining]].<ref>Laura Ruotsalainen, "Data mining tools for technology and competitive intelligence" VTT Research Note ...

In [[machine learning]] and [[data mining]], a '''string kernel''' is a [[Positive-definite kernel|kernel func ...r]]s.<ref name="Lodhi"/> String kernels are used in domains where sequence data are to be [[Cluster analysis|clustered]] or [[statistical classification|cl ...

...ental tool in the study of the geometry of the [[Teichmüller space]], of [[mapping class group]]s and of [[Kleinian group]]s. It was introduced by W.J.Harvey ...t=John L.|date=1986-02-01|title=The virtual cohomological dimension of the mapping class group of an orientable surface|journal=Inventiones Mathematicae|langu ...