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博文

目前显示的是标签为“Scaling”的博文

Causal Groupoid Symmetries and Big Data

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52267#.VI-sxcnQrzE Author(s) Sergio Pissanetzky Affiliation(s) School of Science and Computer Engineering, University of Houston, Clear Lake, Texas, USA . ABSTRACT The big problem of Big Data is the lack of a machine learning process that scales and finds meaningful features. Humans fill in for the insufficient automation, but the complexity of the tasks outpaces the human mind’s capacity to comprehend the data. Heuristic partition methods may help but still need humans to adjust the parameters. The same problems exist in many other disciplines and technologies that depend on Big Data or Machine Learning. Proposed here is a frac...

Causal Groupoid Symmetries and Big Data

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52267#.VI5IJcnQrzE \ Author(s) Sergio Pissanetzky Affiliation(s) School of Science and Computer Engineering, University of Houston, Clear Lake, Texas, USA . ABSTRACT The big problem of Big Data is the lack of a machine learning process that scales and finds meaningful features. Humans fill in for the insufficient automation, but the complexity of the tasks outpaces the human mind’s capacity to comprehend the data. Heuristic partition methods may help but still need humans to adjust the parameters. The same problems exist in many other disciplines and technologies that depend on Big Data or Machine Learning. Proposed here is a fr...

Binary Relations between Magnitudes of Different Dimensions Used in Material Science Optimization Problems Pseudo-State Equation of Soft Magnetic Composites

Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52196#.VIj8_cnQrzE Author(s) Krzysztof Z. Sokalski 1 , Bartosz Jankowski 2 , Barbara Ślusarek 2 Affiliation(s) 1 Institute of Computer Sciences, Czestochowa University of Technology, Czestochowa, Poland . 2 Tele and Radio Research Institute, Warszawa, Poland . ABSTRACT New algorithm for optimizing technological parameters of soft magnetic composites has been derived on the base of topological structure of the power loss characteristics. In optimization magnitudes obeying scaling, it happens that one has to consider binary relations between the magnitudes having different dimensions. From mathematical point of view, in general ca...