Results 221 to 230 of about 109,385 (269)
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Twenty-first international conference on Machine learning - ICML '04, 2004
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions with a lower run-time penalty than Lookahead. A deficiency of the previously proposed algorithm is its inability to scale up to high dimensional problems.
Soumya Ray, David Page
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This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parity functions with a lower run-time penalty than Lookahead. A deficiency of the previously proposed algorithm is its inability to scale up to high dimensional problems.
Soumya Ray, David Page
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SSRN Electronic Journal, 2010 We provide laboratory evidence that people neglect skewness resulting from compound shocks.
Ludwig Ensthaler +2 more
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Journal of Binocular Vision and Ocular Motility, 2022
Ocular skew deviation is an acute vertical misalignment resulting from the disruption of vestibular input to the interstitial nucleus of Cajal, involving the utriculo-ocular pathway, the cerebellum or the thalamus. A large percentage of skew cases associated with globe torsion and head tilt have complex or sinister etiologies, necessitating its ...
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Ocular skew deviation is an acute vertical misalignment resulting from the disruption of vestibular input to the interstitial nucleus of Cajal, involving the utriculo-ocular pathway, the cerebellum or the thalamus. A large percentage of skew cases associated with globe torsion and head tilt have complex or sinister etiologies, necessitating its ...
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IEEE Transactions on Information Theory, 2004
In this paper, we show that skew information introduced by Wigner and Yanase, which is a natural informational extension of variance for pure states, can be interpreted as a measure of quantum uncertainty. By virtue of skew information, we establish a new uncertainty relation in the spirit of Schrodinger, which incorporates both incompatibility ...
Shunlong Luo, Qiang Zhang 0002
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In this paper, we show that skew information introduced by Wigner and Yanase, which is a natural informational extension of variance for pure states, can be interpreted as a measure of quantum uncertainty. By virtue of skew information, we establish a new uncertainty relation in the spirit of Schrodinger, which incorporates both incompatibility ...
Shunlong Luo, Qiang Zhang 0002
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Klinische Monatsblätter für Augenheilkunde, 1998
Skew deviation is a vertical ocular misalignment of prenuclear origin. Although well described in the literature, it is still probably underdiagnosed. Natural history of skew deviation is not well described in the literature.To describe the clinical presentations, etiologies and follow-up of skew deviation.Retrospective study of 29 patients diagnosed ...
F X, Borruat +3 more
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Skew deviation is a vertical ocular misalignment of prenuclear origin. Although well described in the literature, it is still probably underdiagnosed. Natural history of skew deviation is not well described in the literature.To describe the clinical presentations, etiologies and follow-up of skew deviation.Retrospective study of 29 patients diagnosed ...
F X, Borruat +3 more
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Journal of the American Society for Information Science, 1992
Scientific publications are cited to a variable extent. Distributions of article citedness are therefore found to be very skewed even for articles written by the same author, approaching linearity in a semilog plot. It is suggested that this pattern reflects a basic probability distribution with some similarity to the upper part of a normal (Gaussian ...
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Scientific publications are cited to a variable extent. Distributions of article citedness are therefore found to be very skewed even for articles written by the same author, approaching linearity in a semilog plot. It is suggested that this pattern reflects a basic probability distribution with some similarity to the upper part of a normal (Gaussian ...
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Proceedings of the 17th international conference on Parallel architectures and compilation techniques, 2008
Technology scaling in integrated circuits has consistently provided dramatic performance improvements in modern microprocessors. However, increasing device counts and decreasing on-chip voltage levels have made transient errors a first-order design constraint that can no longer be ignored.
Gordon B. Bell, Mikko H. Lipasti
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Technology scaling in integrated circuits has consistently provided dramatic performance improvements in modern microprocessors. However, increasing device counts and decreasing on-chip voltage levels have made transient errors a first-order design constraint that can no longer be ignored.
Gordon B. Bell, Mikko H. Lipasti
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From skews to a skewed-t: modelling option-implied returns by a skewed Student-t
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering (CIFEr) (Cat. No.00TH8520), 2002One of the fundamental assumptions underlying the Black-Scholes formula is that risk-neutral expected returns on an asset are normally distributed. However, the existence of volatility skews indicates that market participants assume a different underlying distribution.
de Jong, Cyriel, Huisman, Ronald
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Skew control methodology for useful-skew implementation
2016 International SoC Design Conference (ISOCC), 2016Skew optimization is an important stage of the physical design. Previous studies suggested various skew optimization algorithms [1–7]. However, many of them have only focused on the zero-skew optimization [1–3], and several recent studies focus on a useful-skew optimization [5–7].
SangGi Do, Seungwon Kim, Seokhyeong Kang
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SKEWED LÉVY MODELS AND IMPLIED VOLATILITY SKEW
International Journal of Theoretical and Applied Finance, 2018We introduce skewed Lévy models, characterized by a symmetric jump measure multiplied by a damping exponential factor. These models exhibit a clear implied volatility pattern, where the damping parameter controls the implied volatility curve’s skew, resulting in a measure of the model’s skewness.
Olivera, Federico de +2 more
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