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Characterization of Randomized External Source Output Map Reduce Expressions
Author(s) -
Ravi,
Mariam Kiran
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2015905403
Subject(s) - computer science , characterization (materials science) , optics , physics
intention of MapReduce Sets for External Source Output expressions analysis has to suggest criteria how External Source Output expressions in External Source Output data can be defined in a meaningful way and how they should be compared. Similitude based MapReduce Sets for External Source Output Expression Analysis and MapReduce Sets for Assignment is expected to adhere to fundamental principles of the scientific External Source Output process that are expressiveness of External Source Output models and reproducibility of their External Source Output inference. External Source Output expressions are assumed to be elements of a External Source Output expression space or Conjecture class and External Source Output data provide "information" which of these External Source Output expressions should be used to interpret the External Source Output data. An inference External Source Output algorithm constructs the mapping between External Source Output data and External Source Output expressions, in particular by a External Source Output cost minimization process. Fluctuations in the External Source Output data often limit the External Source Output precision, which we can achieve to uniquely identify a single External Source Output expression as interpretation of the External Source Output data. We advocate an information theoretic perspective on External Source Output expression analysis to resolve this dilemma where the tradeoff between External Source Output informativeness of statistical inference External Source Output and their External Source Output stability is mirrored in the information-theoretic External Source Output optimum of high External Source Output information rate and zero communication expression error. The inference External Source Output algorithm is considered as an outlier object External Source Output path, which naturally limits the resolution of the External Source Output expression space given the uncertainty of the External Source Output data. KeywordsExternal Source Output expressions, kernel function.

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