Results 241 to 250 of about 22,026,600 (288)
Adversarial dynamical systems characterize when data-driven learning succeeds or fails. [PDF]
Colbrook MJ, Mezić I, Stepanenko A.
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Analytical Chemistry, 2001
Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Bilinear data matrices may be resolved into abstract factors by factor analysis. The underlying chemical processes that generated the data may be deduced from the abstract factors by hard (model fitting) or soft (model-free) analyses. We propose a novel approach that combines the advantages of both hard and soft methods, in that only a few parameters ...
Mason, Caroline +2 more
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Representing and Resolving Negation for Sentiment Analysis
2012 IEEE 12th International Conference on Data Mining Workshops, 2012Proper treatment of negation is an important characteristic of methods for sentiment analysis. However, while there is a growing body of research on the automatic resolution of negation, it is not yet clear as to how negation is best represented for different applications.
Emanuele Lapponi +2 more
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A Resolvable Performance Analysis for the Group Targets
2018 International Conference on Control, Automation and Information Sciences (ICCAIS), 2018The traditional group targets assume that the targets are close and thus unresolvable. In tracking process, the feature of unresolvable is fixed. This is unreasonable when the distance between targets and sensor is short. That is, the unresolvable property is various with the distance and sensor observation accuracy.
Guilin Zhang, Yudong Chi, Shuiun Zhu
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Resolving Banking Crises - An Analysis of Policy Options [PDF]
This paper develops a dynamic model to examine the ex-ante and ex-post implications of five policy options for resolving bank failures when the authorities cannot observe the level of non-performing loans (NPLs) held by individual banks. Under asymmetric information, we show that the first-best outcome is achievable when the authorities can close all ...
Misa Tanaka, Glenn Hoggarth
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Resolvent and Proximal Compositions [PDF]
We introduce the resolvent composition, a monotonicity-preserving operation between a linear operator and a set-valued operator, as well as the proximal composition, a convexity-preserving operation between a linear operator and a function.
Patrick L Combettes, Zihua Guo
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Methods for analysis of time-resolved fluorescence data
CONIELECOMP 2012, 22nd International Conference on Electrical Communications and Computers, 2012We report the results of applying several deconvolution methods to estimate fluorescence decay curves and fluorescence lifetimes. The methods are applied to time-resolved fluorescence signals measured with a homemade spectrofluorometer. We measured the fluorescence emitted by three substances with known lifetimes: fluoresceine (4.03 ns), rhodamine 6G ...
Edgar Moreno-García +3 more
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Resolving uncertainties during trace analysis
Proceedings of the 12th ACM SIGSOFT twelfth international symposium on Foundations of software engineering, 2004Software models provide independent perspectives onto software systems. Ideally, all models should use the same model element to describe the same part of a system. Practically, models elements are not shared because of syntactic and semantic differences among modeling notations.
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2011
This chapter describes LIBS investigations for a spatially resolved microanalysis of samples using the capability to focus laser radiation to spot sizes below 10μm. Applications of the developed method will be presented in Sect.18.3.
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This chapter describes LIBS investigations for a spatially resolved microanalysis of samples using the capability to focus laser radiation to spot sizes below 10μm. Applications of the developed method will be presented in Sect.18.3.
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