Results 301 to 310 of about 6,335,595 (355)
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Performance evaluation of FDDI
[1990] Proceedings. 15th Conference on Local Computer Networks, 2002Using simulation, it is shown that two changes to the fiber distributed data interface (FDDI) protocol suggested by K.C. Sevcik and M.J. Johnson (1987) will simplify the protocol and improve the performance of synchronous traffic by reducing its mean latency.
Mark C. Nelson, Paul D. Amer
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Proceedings of the 22nd ACM Conference on Economics and Computation, 2021
This paper considers a moral hazard in teams model in which a principal knows that the agents she compensates are identical and independent, but does not know all of the actions they can take. In the face of this uncertainty, the principal chooses a symmetric contract that yields her the highest worst-case expected profit.
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This paper considers a moral hazard in teams model in which a principal knows that the agents she compensates are identical and independent, but does not know all of the actions they can take. In the face of this uncertainty, the principal chooses a symmetric contract that yields her the highest worst-case expected profit.
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Performance evaluation of the MouthPad
2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2014MouthPad is a tongue-computer interface, which enables the control of a computer pointer through tongue movements, in a joystick like manner. The movement of the tongue is monitored via an electrode array, placed on the palate; the contact impedance between the anterior tongue and the electrodes provides the position of the tongue relative to the ...
Ovidiu Draghici +3 more
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Evaluating analytic performance
Proceedings of the 2012 BELIV Workshop: Beyond Time and Errors - Novel Evaluation Methods for Visualization, 2012In this position paper we propose a performance science approach to evaluation of visual analytics systems.
Linda T. Kaastra +2 more
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Geo2Tag performance evaluation
2012 12th Conference of Open Innovations Association (FRUCT), 2012Today volume of the Internet traffic growths very fast. This trend affects Web-application, with the number of users and amount of traffic also increasing their workload. That's why developers need to achieve maximum performance on existing hardware. Software optimization allows solving this problem.
Mark Zaslavskiy, Kirill Krinkin
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Performance Evaluation and Monitoring
ACM Computing Surveys, 1971Three major purposes for evaluating the hardware and software performance of computer systems--selection evaluation, performance projection, and performance monitoring--are described. Eight techniques that have been used or suggested for evaluating performance are discussed. Each of these techniques is rated on its suitability for the three purposes of
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Performance evaluations of ReconfigME
2006 IEEE International Conference on Field Programmable Technology, 2006With the development of reconfigurable computers containing FPGAs with in excess of 6 million system-gates, it is now feasible to consider the possibility of sharing the FPGA between multiple concurrently executing applications. This could potentially increase the resource usage of the expensive FPGA logic and decrease response times so users will not ...
Grant B. Wigley, David A. Kearney
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Performance Evaluation of Phototimers
Radiology, 1976Phototimers detect x rays impinging on or emerging from an x-ray film cassette and terminate the exposure after a predetermined amount of radiation has been received by the film. A phototimer must provide reproducible film exposures over a wide range of target-to-film distances, patient thicknesses, and technique variables.
E L, Chaney, W R, Hendee, D L, Hare
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Performance evaluation of a minicomputer
Review of Scientific Instruments, 1975With the advent of high speed computers, the digital processing of data became a common practice among many researchers. The recent trend among geophysical researchers has been to establish their own computer system by use of a minicomputer rather than time sharing of a larger system. In developing such a system, a question arises as to how reliable is
K, Takeuchi, T, Mogel
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2008
When we develop or validate a prediction model, we want to quantify how good the predictions from the model are (“model performance”). Predictions are absolute risks, which go beyond assessments of relative risks, such as regression coefficients, odds ratios, or hazard ratios.
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When we develop or validate a prediction model, we want to quantify how good the predictions from the model are (“model performance”). Predictions are absolute risks, which go beyond assessments of relative risks, such as regression coefficients, odds ratios, or hazard ratios.
openaire +1 more source