International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 128 - Number 12 |
Year of Publication: 2015 |
Authors: Ravi (Ravinder) Prakash G, Kiran M. and |
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Ravi (Ravinder) Prakash G, Kiran M. and . Can one find External Source Input Expressions for which there exist Map Reduce Configurations?. International Journal of Computer Applications. 128, 12 ( October 2015), 14-21. DOI=10.5120/ijca2015906680
An intention of MapReduce Sets for External Source Input expressions analysis has to suggest criteria how External Source Input expressions in External Source Input data can be defined in a meaningful way and how they should be compared. Similitude based MapReduce Sets for External Source Input Expression Analysis and MapReduce Sets for Assignment is expected to adhere to fundamental principles of the scientific External Source Input process that are expressiveness of External Source Input models and reproducibility of their External Source Input inference. External Source Input expressions are assumed to be elements of a External Source Input expression space or Conjecture class and External Source Input data provide “information” which of these External Source Input expressions should be used to interpret the External Source Input data. An inference External Source Input algorithm constructs the mapping between External Source Input data and External Source Input expressions, in particular by a External Source Input cost minimization process. Fluctuations in the External Source Input data often limit the External Source Input precision, which we can achieve to uniquely identify a single External Source Input expression as interpretation of the External Source Input data. We advocate an information theoretic perspective on External Source Input expression analysis to resolve this dilemma where the tradeoff between External Source Input informativeness of statistical inference External Source Input and their External Source Input stability is mirrored in the information-theoretic External Source Input optimum of high External Source Input information rate and zero communication expression error. The inference External Source Input algorithm is considered as an outlier object External Source Input path, which naturally limits the resolution of the External Source Input expression space given the uncertainty of the External Source Input data.