搜索结果: 1-15 共查到“G-expectation”相关记录56条 . 查询时间(0.078 秒)
Distinguishers on round-reduced AES have attracted considerable attention in the recent years. Although the number of rounds covered in key-recovery attacks has not been increased since, subspace, yoy...
A THRESHOLD-FREE FILTERING ALGORITHM FOR AIRBORNE LIDAR POINT CLOUDS BASED ON EXPECTATION-MAXIMIZATION
Airborne LiDAR Point clouds Filtering Ground points Expectation-maximization Intensity
2018/5/14
Filtering is a key step for most applications of airborne LiDAR point clouds. Although lots of filtering algorithms have been put forward in recent years, most of them suffer from parameters setting o...
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Covariance&Correlation
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Covariance&Correlation
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Covariance&Correlation.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Some Important Expectations&Variance
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Some Important Expectations&Variance
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Some Important Expectations&Variance.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--The variance of random variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance The variance of random variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--The variance of random variables.
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Expectations of random variables
昆明理工大学理学院 概率论与数理统计 课件 Chapter 4 The Expectation and Variance Expectations of random variables
2017/4/17
昆明理工大学理学院概率论与数理统计课件Chapter 4 The Expectation and Variance--Expectations of random variables.
A theory that links memory encoding to expectations of future relevance may better explain how human memory works, according to a team of Penn State psychologists.Modern psychology posits two major th...
Automatic Expectation and Variance Computing for Attacks on Feistel Schemes
Generic attacks on Feistel type schemes pseudo-random permutations differential cryptanalysis
2016/2/23
There are many kinds of attacks that can be mounted on
block ciphers: differential attacks, impossible differential attacks, truncated
differential attacks, boomerang attacks. We consider generic di...
Closed-form expansion, conditional expectation, and option valuation
asymptotic expansion diffusion option pricing conditional expectation iterated stochastic integral
2016/1/25
Enlightened by the theory of Watanabe [Watanabe S (1987) Analysis of Wiener functionals (Malliavin calculus) and its applications to heat kernels. Ann. Probab. 15:1–39] for analyzing generalized rando...
Closed-form expansion, conditional expectation, and option valuation
asymptotic expansion diffusion option pricing conditional expectation iterated stochastic integral
2016/1/20
Enlightened by the theory of Watanabe [Watanabe S (1987) Analysis of Wiener functionals (Malliavin calculus) and its applications to heat kernels. Ann. Probab. 15:1–39] for analyzing generalized rando...
Introducing an Outcome Expectation Questionnaire and Its Psychometric Properties Regarding Leisure Time Physical Activity for Iranian Male Adolescent
Exercise Adolescent Questionnaires Reproducibility of Results Cognition Iran
2015/11/6
Background: Outcome expectation (OE) is known as a psychosocial determinant of leisure time physical activity (LTPA). Despite importance of this construct evaluation, there is no evidence of special q...
The role of temporal predictability in semantic expectation: An MEG investigation
Prediction Expectation Semantic
2015/9/2
Prior research suggests that prediction of semantic and syntactic information prior to the
bottom-up input is an important component of language comprehension. Recent work in
basic visual and audito...
Computing the Distribution Function of a Conditional Expectation via Monte Carlo: Discrete Conditioning Spaces
Probability algorithms distribution functions conditional expectation
2015/7/8
We examine different ways of numerically computing the distribution function of conditional expectations where the conditioning element takes values in a finite or countably infinite outcome space. Bo...
Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Cross-lingual Projected Expectation Regularization Weakly Supervised Learning
2015/6/12
We consider a multilingual weakly supervised learning scenario where knowledge from annotated corpora in a resource-rich language is transferred via bitext to guide the learning in other languages. Pa...
Likely values of the Higgs vacuum expectation value
Function the higgs vacuum expectations the atoms the standard model the yukawa coupling
2014/12/18
We make an estimate of the likelihood function for the Higgs vacuum expectation value (vev) by imposing anthropic constraints on the existence of atoms while allowing the other parameters of the stand...