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Breakdown Point of Robust Support Vector Machines [PDF]

open access: yesEntropy, 2017
Support vector machine (SVM) is one of the most successful learning methods for solving classification problems. Despite its popularity, SVM has the serious drawback that it is sensitive to outliers in training samples.
Takafumi Kanamori   +2 more
doaj   +5 more sources

The Breakdown Point — Examples and Counterexamples

open access: yesRevstat Statistical Journal, 2007
The breakdown point plays an important though at times controversial role in statistics. In situations in which it has proved most successful there is a group of transformations which act on the sample space and which give rise to an equivariance ...
P.L. Davies , U. Gather
doaj   +3 more sources

ASSESSING ROBUSTNESS OF CLASSIFICATION USING ANGULAR BREAKDOWN POINT. [PDF]

open access: yesAnn Stat, 2018
Robustness is a desirable property for many statistical techniques. As an important measure of robustness, breakdown point has been widely used for regression problems and many other settings. Despite the existing development, we observe that the standard breakdown point criterion is not directly applicable for many classification problems.
Zhao J, Yu G, Liu Y.
europepmc   +6 more sources

The finite sample breakdown point of PCS [PDF]

open access: yesStatistics and Probability Letters, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eric Schmitt
exaly   +3 more sources

The Masking Breakdown Point of Multivariate Outlier Identification Rules [PDF]

open access: yesJournal of the American Statistical Association, 1999
In this paper, we consider one-step outlier identifiation rules for multivariate data, generalizing the concept of so-called alpha outlier identifiers, as presented in Davies and Gather (1993) for the case of univariate samples. We investigate, how the finite-sample breakdown points of estimators used in these identification rules influence the masking
Ursula Gather, Claudia Becker
exaly   +7 more sources

Some Results on the Spatial Breakdown Point of Robust Point Estimates of the Variogram

open access: yesMathematical Geosciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
R Murray Lark, Lark R M
exaly   +2 more sources

Finite sample breakdown point of Tukey’s halfspace median [PDF]

open access: yesScience China Mathematics, 2017
Tukey's halfspace median ($\HM$), servicing as the {multivariate} counterpart of the univariate median, has been introduced and extensively studied in the literature. It is supposed and expected to preserve robustness property (the most outstanding property) of the univariate median.
Yijun Zuo, , Zuo Yijun
exaly   +4 more sources

Deformation Feature Extraction for GNSS Landslide Monitoring Series Based on Robust Adaptive Sliding-Window Algorithm

open access: yesFrontiers in Earth Science, 2022
Global navigation satellite system technology has been widely used for high-precision, real-time monitoring of landslides. To improve forecasts and early warnings, the true deformation features must be extracted from the global navigation satellite ...
Guanwen Huang   +5 more
doaj   +1 more source

On the Subrange and Its Application to the R-Chart

open access: yesApplied Sciences, 2021
The conventional sample range is widely used for the construction of an R-chart. In an R-chart, the sample range estimates the standard deviation, especially in the case of a small sample size.
En Xie   +3 more
doaj   +1 more source

Generalized Species Richness Indices for Diversity

open access: yesEntropy, 2022
A generalized notion of species richness is introduced. The generalization embeds the popular index of species richness on the boundary of a family of diversity indices each of which is the number of species in the community after a small proportion of ...
Zhiyi Zhang
doaj   +1 more source

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