Results 371 to 380 of about 3,785,147 (434)
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Neural Computation, 1995
Discovering the structure inherent in a set of patterns is a fundamental aim of statistical inference or learning. One fruitful approach is to build a parameterized stochastic generative model, independent draws from which are likely to produce the patterns.
Dayan, P. +3 more
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Discovering the structure inherent in a set of patterns is a fundamental aim of statistical inference or learning. One fruitful approach is to build a parameterized stochastic generative model, independent draws from which are likely to produce the patterns.
Dayan, P. +3 more
openaire +4 more sources
Metroeconomica, 2015
ABSTRACTTo avoid the intricacies of pure joint production, it is usually assumed that machines cannot be transferred across industries. Salvadori, however, identified a case in which productive systems with transferable machines have the same properties as those with non‐transferable machines.
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ABSTRACTTo avoid the intricacies of pure joint production, it is usually assumed that machines cannot be transferred across industries. Salvadori, however, identified a case in which productive systems with transferable machines have the same properties as those with non‐transferable machines.
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2016
How do Cognitive Things communicate with each other? What are the options and trade-offs?How would Cognitive Things develop trusted relationships? How would they recognize and protect themselves from fraudulent and malicious attacks?How is the information processed by Cognitive Things governed?
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How do Cognitive Things communicate with each other? What are the options and trade-offs?How would Cognitive Things develop trusted relationships? How would they recognize and protect themselves from fraudulent and malicious attacks?How is the information processed by Cognitive Things governed?
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ACM SIGMOD Record, 1978
A back-end data base machine is discussed in which the back-end is closely coupled to the host system as an intelligent I/O device. The design of the hardware and software is such that the data base disks can be on either the host or back-end computers.
W. G. Roman, J. S. Hutchison
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A back-end data base machine is discussed in which the back-end is closely coupled to the host system as an intelligent I/O device. The design of the hardware and software is such that the data base disks can be on either the host or back-end computers.
W. G. Roman, J. S. Hutchison
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Human vs. Machine – or with Machine?
European Journal of Vascular and Endovascular Surgery, 2021Triantafillos G. Giannakopoulos +1 more
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The International Journal of Advanced Manufacturing Technology, 2019
Z. Said +6 more
semanticscholar +1 more source
Z. Said +6 more
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Proceedings of a symposium on High-level-language computer architecture - SIGPLAN '73, 1973
Two results are presented in this paper: an enlargement of the concept of machine languages and a way to design computers based on an inner machine oriented toward interpretation of machine languages in general. In Part I we discuss attributes of “directly interpretable languages” and processing mechanisms related to their interpretation.
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Two results are presented in this paper: an enlargement of the concept of machine languages and a way to design computers based on an inner machine oriented toward interpretation of machine languages in general. In Part I we discuss attributes of “directly interpretable languages” and processing mechanisms related to their interpretation.
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The Invasion of Machines and Machine Culture
2017Chapter 3 ("The Invasion of Machines and Machine Culture") builds upon Ben Singer's observation in Melodrama and Modernity that this genre reflects the spectator's growing fear of the machines that have begun to physically invade our space. It further expands upon this insight by moving beyond the widespread feelings of psychic unease Singer identifies
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Grinding Technology: Theory and Applications of Machining with Abrasives
, 1989S. Malkin
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Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
International Journal of Precision Engineering and Manufacturing - Green Technology, 2018Dong-Hyeon Kim +10 more
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