Results 211 to 220 of about 7,642,499 (282)
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IEEE Transactions on Dependable and Secure Computing, 2021
It is increasingly important and a big challenge to detect intrusion behavior variants in today's world. Previous host-based intrusion detection methods typically explore the sequence of system calls or unix shell commands to detect the intrusion ...
Yulai Xie, Yafeng Wu, D. Feng, D. Long
semanticscholar +1 more source
It is increasingly important and a big challenge to detect intrusion behavior variants in today's world. Previous host-based intrusion detection methods typically explore the sequence of system calls or unix shell commands to detect the intrusion ...
Yulai Xie, Yafeng Wu, D. Feng, D. Long
semanticscholar +1 more source
Mathematical Population Studies, 2021
Maximum ranked set sampling with unequal samples is a sampling procedure used to reduce the error of ranking of observations and increase the efficiency of statistical inference.
Shuo Wang +3 more
semanticscholar +1 more source
Maximum ranked set sampling with unequal samples is a sampling procedure used to reduce the error of ranking of observations and increase the efficiency of statistical inference.
Shuo Wang +3 more
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Gaussian Distribution Based Oversampling for Imbalanced Data Classification
IEEE Transactions on Knowledge and Data Engineering, 2020The imbalanced data classification problem widely exists in many real-world applications. Data resampling is a promising technique to deal with imbalanced data through either oversampling or undersampling.
Yuxi Xie +4 more
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Variational Adaptive Kalman Filter With Gaussian-Inverse-Wishart Mixture Distribution
IEEE Transactions on Automatic Control, 2021In this article, a new variational adaptive Kalman filter with Gaussian-inverse-Wishart mixture distribution is proposed for a class of linear systems with both partially unknown state and measurement noise covariance matrices.
Yulong Huang +3 more
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Applied Mathematics and Computation, 1999
The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Mastrangelo, Michèle +2 more
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The paper studies (non-Gaussian) diffusions classified as either ``hypo-diffusion'' or ``hyper-diffusion'', where the \(\beta\) order moments are of the type \(t^{\beta/\alpha}\), with \(\beta\) and \(\alpha\) belonging to \(\mathbb{R}^*_+\). The authors introduce signed measures corresponding to non-Gaussian diffusions on \(\mathbb{R}\), inspired by ...
Mastrangelo, Michèle +2 more
openaire +2 more sources
Probability, Random Variables, Statistics, and Random Processes, 2016
Chris Williams
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Chris Williams
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Communications in Statistics - Theory and Methods, 2018
A new two-parameter distribution over the unit interval, called the Unit-Inverse Gaussian distribution, is introduced and studied in detail. The proposed distribution shares many properties with other known distributions on the unit interval, such as ...
M. E. Ghitany +3 more
semanticscholar +1 more source
A new two-parameter distribution over the unit interval, called the Unit-Inverse Gaussian distribution, is introduced and studied in detail. The proposed distribution shares many properties with other known distributions on the unit interval, such as ...
M. E. Ghitany +3 more
semanticscholar +1 more source