The skewed class distribution and data complexity may severely affect the imbalanced classification results. The cost of classification can be significantly reduced if these data complexity are measured and pre-processed prior to training, ...

• MFII considers class imbalance and various overlap factors to assess data complexity.
• VoR and DoC are proposed to estimate resolution and stability of complexity measures.
• MFII has strong negative correlation with classification ...

Point cloud registration methods based on Gaussian Mixture Models (GMMs) exhibit high robustness. However, GMM cannot precisely depict point clouds, because the Gaussian distribution is spatially symmetric and local surfaces of point clouds are ...

• Substitute Gaussian distribution with skewed distribution for enhanced accuracy in probability models.
• Construct the probability density function using local surface normals and curvature radii.
• Apply an adaptive multiplier to each ...

A finite-step procedure is proposed for maximum likelihood estimation of the three-parameter asymmetric Laplace distribution. Its performance is compared with the iterative method most commonly used for this distribution. The new procedure is ...

Only a few scientists are able to publish a substantial number of papers every year; most of the scientists have an output of only a few publications or no publications at all. Several theories (e.g., the “sacred spark” theory) have been proposed ...

Skewed citation distribution is a major limitation of the Journal Impact Factor (JIF) representing an outlier-sensitive mean citation value per journal The present study focuses primarily on this phenomenon in the medical literature by ...

The robust control network for nonlinear large-scale systems with parametric uncertainties also considers the uncertain robust stabilization problem for controlled networks. In heterogeneous populations, hybrid regression models are the most important ...

This study presents three methods for testing the difference between two signal-to-noise ratios (SNRs) of log-normal distributions. The proposed statistical tests were based on the generalized confidence interval (GCI) approach, the large sample (...

Nearly all distributions in bibliometrics are skewed. In particular, the distribution of citations of publications by research units is skewed. In a statistical view, the calculation of mean values can imply misleading or even wrong information. ...

The expressivity of machine learning algorithms is considered to be critical in intelligent data analysis tasks for practical application. As an alternative set of classification rule learning algorithms to conventional decision tree, Prism family ...

The growing scholarly interest in research top performers comes from the growing policy interest in research top performance itself. A question emerges: what makes someone a top performer? In this paper, the upper 10% of Polish academics in terms of ...

The increment of computer technology use and the continued growth of companies have enabled most financial transactions to be performed through the electronic commerce systems, such as using the credit card system, telecommunication system, healthcare ...

10 min frequency RV series are utilized for the volatility forecasts.The most accurate forecasts are based on the RV series of the futures returns.The series of the filtered returns improve efficiency of the forecasts. In this study 10 min frequency ...

A multivariate generalization of the shifted asymmetric Laplace distribution is formulated.This distribution has convex upper level sets, making it excellent for cluster analysis.Finite mixtures of this generalization are developed for unsupervised ...

Though both symmetric and asymmetric control limits can be applied to X@? and R charts, no well-controlled comparison of the resulting performance has been conducted. Symmetric limits such as 3-sigma limits are the customary choice. However, previous ...

Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on Environmental Quality (TCEQ) to help them build highly accurate ozone level ...

In this letter, we introduce a novel family of texture models which provide alternatives to texture models which are based on Gaussian distributions. In particular, we introduce linear textures generated with a member of the α-stable distribution family,...