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Document Type : Latin Dissertation
Language of Document : English
Record Number : 149926
Doc. No : ET21718
Main Entry : Dan Pelleg
Title Proper : Scalable and Practical Probability Density Estimators for Scientific Anomaly Detection
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Originally, astronomers dealt with stars. Later, with galaxies. To-day, large scale cosmological structures are so complex, they must be firstreduced into more succinct representations. For example, a universe sirnu-lation containing millions of objects is characterized by its halo occupationdistribution.This progression is typical of many disciplines of science, and evenresonates in our daily lives. The easier it is for us to collect new data,store it and manage it, the harder it becomes to keep up with what it allmeans. For that we need to develop tools capable of mining big data sets.This new generation of data analysis tools must meet the followingrequirements. They have to be fast and scale well to big data. Theiroutput has to be straightforward to understand and..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL44900.pdf
Title and statement of responsibility and : Scalable and Practical Probability Density Estimators for Scientific Anomaly Detection [Thesis]
 
 
 
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